tuanio commited on
Commit
d40d782
·
verified ·
1 Parent(s): ee01613

Model save

Browse files
README.md ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - generated_from_trainer
4
+ model-index:
5
+ - name: ft-moe-llava-qwen1.5-1.8b-vista-1ep
6
+ results: []
7
+ ---
8
+
9
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
10
+ should probably proofread and complete it, then remove this comment. -->
11
+
12
+ # ft-moe-llava-qwen1.5-1.8b-vista-1ep
13
+
14
+ This model was trained from scratch on an unknown dataset.
15
+
16
+ ## Model description
17
+
18
+ More information needed
19
+
20
+ ## Intended uses & limitations
21
+
22
+ More information needed
23
+
24
+ ## Training and evaluation data
25
+
26
+ More information needed
27
+
28
+ ## Training procedure
29
+
30
+ ### Training hyperparameters
31
+
32
+ The following hyperparameters were used during training:
33
+ - learning_rate: 2e-05
34
+ - train_batch_size: 4
35
+ - eval_batch_size: 4
36
+ - seed: 42
37
+ - distributed_type: multi-GPU
38
+ - num_devices: 4
39
+ - gradient_accumulation_steps: 8
40
+ - total_train_batch_size: 128
41
+ - total_eval_batch_size: 16
42
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
43
+ - lr_scheduler_type: cosine
44
+ - lr_scheduler_warmup_ratio: 0.03
45
+ - num_epochs: 1.0
46
+
47
+ ### Training results
48
+
49
+
50
+
51
+ ### Framework versions
52
+
53
+ - Transformers 4.37.0
54
+ - Pytorch 2.0.1+cu117
55
+ - Datasets 2.20.0
56
+ - Tokenizers 0.15.1
config.json CHANGED
@@ -1,7 +1,7 @@
1
  {
2
  "_name_or_path": "/home/users/astar/ares/stunvat/scratch/checkpoints/moe-llava-qwen1.5-1.8b-ft-mergedlora",
3
  "architectures": [
4
- "MoELLaVAQwen1_5ForCausalLM"
5
  ],
6
  "attention_dropout": 0.0,
7
  "bos_token_id": 151643,
@@ -79,10 +79,10 @@
79
  "sliding_window": 32768,
80
  "tie_word_embeddings": false,
81
  "tokenizer_padding_side": "right",
82
- "torch_dtype": "bfloat16",
83
  "transformers_version": "4.37.0",
84
  "tune_mm_mlp_adapter": false,
85
- "use_cache": false,
86
  "use_mm_proj": true,
87
  "use_sliding_window": false,
88
  "video_global_proj": false,
 
1
  {
2
  "_name_or_path": "/home/users/astar/ares/stunvat/scratch/checkpoints/moe-llava-qwen1.5-1.8b-ft-mergedlora",
3
  "architectures": [
4
+ "LlavaQwen1_5ForCausalLM"
5
  ],
6
  "attention_dropout": 0.0,
7
  "bos_token_id": 151643,
 
79
  "sliding_window": 32768,
80
  "tie_word_embeddings": false,
81
  "tokenizer_padding_side": "right",
82
+ "torch_dtype": "float16",
83
  "transformers_version": "4.37.0",
84
  "tune_mm_mlp_adapter": false,
85
+ "use_cache": true,
86
  "use_mm_proj": true,
87
  "use_sliding_window": false,
88
  "video_global_proj": false,
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "eos_token_id": 151643,
4
+ "max_new_tokens": 2048,
5
+ "transformers_version": "4.37.0"
6
+ }
model-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3d8b64014a55c0ee57c309887a809ba63a7c3eb44a8505474220f87dd50dff0e
3
+ size 4995418608
model-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c0e34ee4f386d58d941ca6e846a1a5313c44938c46677ed5c097281bc0471975
3
+ size 1308341240
model.safetensors.index.json ADDED
@@ -0,0 +1,630 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 6303674880
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00002-of-00002.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00002.safetensors",
8
+ "model.image_tower.image_tower.vision_model.embeddings.patch_embedding.bias": "model-00002-of-00002.safetensors",
9
+ "model.image_tower.image_tower.vision_model.embeddings.patch_embedding.weight": "model-00002-of-00002.safetensors",
10
+ "model.image_tower.image_tower.vision_model.embeddings.position_embedding.weight": "model-00002-of-00002.safetensors",
11
+ "model.image_tower.image_tower.vision_model.encoder.layers.0.layer_norm1.bias": "model-00002-of-00002.safetensors",
12
+ "model.image_tower.image_tower.vision_model.encoder.layers.0.layer_norm1.weight": "model-00002-of-00002.safetensors",
13
+ "model.image_tower.image_tower.vision_model.encoder.layers.0.layer_norm2.bias": "model-00002-of-00002.safetensors",
14
+ "model.image_tower.image_tower.vision_model.encoder.layers.0.layer_norm2.weight": "model-00002-of-00002.safetensors",
15
+ "model.image_tower.image_tower.vision_model.encoder.layers.0.mlp.fc1.bias": "model-00002-of-00002.safetensors",
16
+ "model.image_tower.image_tower.vision_model.encoder.layers.0.mlp.fc1.weight": "model-00002-of-00002.safetensors",
17
+ "model.image_tower.image_tower.vision_model.encoder.layers.0.mlp.fc2.bias": "model-00002-of-00002.safetensors",
18
+ "model.image_tower.image_tower.vision_model.encoder.layers.0.mlp.fc2.weight": "model-00002-of-00002.safetensors",
19
+ "model.image_tower.image_tower.vision_model.encoder.layers.0.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
20
+ "model.image_tower.image_tower.vision_model.encoder.layers.0.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
21
+ "model.image_tower.image_tower.vision_model.encoder.layers.0.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
22
+ "model.image_tower.image_tower.vision_model.encoder.layers.0.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
23
+ "model.image_tower.image_tower.vision_model.encoder.layers.0.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
24
+ "model.image_tower.image_tower.vision_model.encoder.layers.0.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
25
+ "model.image_tower.image_tower.vision_model.encoder.layers.0.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
26
+ "model.image_tower.image_tower.vision_model.encoder.layers.0.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
27
+ "model.image_tower.image_tower.vision_model.encoder.layers.1.layer_norm1.bias": "model-00002-of-00002.safetensors",
28
+ "model.image_tower.image_tower.vision_model.encoder.layers.1.layer_norm1.weight": "model-00002-of-00002.safetensors",
29
+ "model.image_tower.image_tower.vision_model.encoder.layers.1.layer_norm2.bias": "model-00002-of-00002.safetensors",
30
+ "model.image_tower.image_tower.vision_model.encoder.layers.1.layer_norm2.weight": "model-00002-of-00002.safetensors",
31
+ "model.image_tower.image_tower.vision_model.encoder.layers.1.mlp.fc1.bias": "model-00002-of-00002.safetensors",
32
+ "model.image_tower.image_tower.vision_model.encoder.layers.1.mlp.fc1.weight": "model-00002-of-00002.safetensors",
33
+ "model.image_tower.image_tower.vision_model.encoder.layers.1.mlp.fc2.bias": "model-00002-of-00002.safetensors",
34
+ "model.image_tower.image_tower.vision_model.encoder.layers.1.mlp.fc2.weight": "model-00002-of-00002.safetensors",
35
+ "model.image_tower.image_tower.vision_model.encoder.layers.1.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
36
+ "model.image_tower.image_tower.vision_model.encoder.layers.1.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
37
+ "model.image_tower.image_tower.vision_model.encoder.layers.1.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
38
+ "model.image_tower.image_tower.vision_model.encoder.layers.1.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
39
+ "model.image_tower.image_tower.vision_model.encoder.layers.1.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
40
+ "model.image_tower.image_tower.vision_model.encoder.layers.1.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
41
+ "model.image_tower.image_tower.vision_model.encoder.layers.1.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
42
+ "model.image_tower.image_tower.vision_model.encoder.layers.1.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
43
+ "model.image_tower.image_tower.vision_model.encoder.layers.10.layer_norm1.bias": "model-00002-of-00002.safetensors",
44
+ "model.image_tower.image_tower.vision_model.encoder.layers.10.layer_norm1.weight": "model-00002-of-00002.safetensors",
45
+ "model.image_tower.image_tower.vision_model.encoder.layers.10.layer_norm2.bias": "model-00002-of-00002.safetensors",
46
+ "model.image_tower.image_tower.vision_model.encoder.layers.10.layer_norm2.weight": "model-00002-of-00002.safetensors",
47
+ "model.image_tower.image_tower.vision_model.encoder.layers.10.mlp.fc1.bias": "model-00002-of-00002.safetensors",
48
+ "model.image_tower.image_tower.vision_model.encoder.layers.10.mlp.fc1.weight": "model-00002-of-00002.safetensors",
49
+ "model.image_tower.image_tower.vision_model.encoder.layers.10.mlp.fc2.bias": "model-00002-of-00002.safetensors",
50
+ "model.image_tower.image_tower.vision_model.encoder.layers.10.mlp.fc2.weight": "model-00002-of-00002.safetensors",
51
+ "model.image_tower.image_tower.vision_model.encoder.layers.10.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
52
+ "model.image_tower.image_tower.vision_model.encoder.layers.10.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
53
+ "model.image_tower.image_tower.vision_model.encoder.layers.10.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
54
+ "model.image_tower.image_tower.vision_model.encoder.layers.10.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
55
+ "model.image_tower.image_tower.vision_model.encoder.layers.10.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
56
+ "model.image_tower.image_tower.vision_model.encoder.layers.10.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
57
+ "model.image_tower.image_tower.vision_model.encoder.layers.10.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
58
+ "model.image_tower.image_tower.vision_model.encoder.layers.10.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
59
+ "model.image_tower.image_tower.vision_model.encoder.layers.11.layer_norm1.bias": "model-00002-of-00002.safetensors",
60
+ "model.image_tower.image_tower.vision_model.encoder.layers.11.layer_norm1.weight": "model-00002-of-00002.safetensors",
61
+ "model.image_tower.image_tower.vision_model.encoder.layers.11.layer_norm2.bias": "model-00002-of-00002.safetensors",
62
+ "model.image_tower.image_tower.vision_model.encoder.layers.11.layer_norm2.weight": "model-00002-of-00002.safetensors",
63
+ "model.image_tower.image_tower.vision_model.encoder.layers.11.mlp.fc1.bias": "model-00002-of-00002.safetensors",
64
+ "model.image_tower.image_tower.vision_model.encoder.layers.11.mlp.fc1.weight": "model-00002-of-00002.safetensors",
65
+ "model.image_tower.image_tower.vision_model.encoder.layers.11.mlp.fc2.bias": "model-00002-of-00002.safetensors",
66
+ "model.image_tower.image_tower.vision_model.encoder.layers.11.mlp.fc2.weight": "model-00002-of-00002.safetensors",
67
+ "model.image_tower.image_tower.vision_model.encoder.layers.11.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
68
+ "model.image_tower.image_tower.vision_model.encoder.layers.11.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
69
+ "model.image_tower.image_tower.vision_model.encoder.layers.11.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
70
+ "model.image_tower.image_tower.vision_model.encoder.layers.11.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
71
+ "model.image_tower.image_tower.vision_model.encoder.layers.11.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
72
+ "model.image_tower.image_tower.vision_model.encoder.layers.11.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
73
+ "model.image_tower.image_tower.vision_model.encoder.layers.11.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
74
+ "model.image_tower.image_tower.vision_model.encoder.layers.11.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
75
+ "model.image_tower.image_tower.vision_model.encoder.layers.2.layer_norm1.bias": "model-00002-of-00002.safetensors",
76
+ "model.image_tower.image_tower.vision_model.encoder.layers.2.layer_norm1.weight": "model-00002-of-00002.safetensors",
77
+ "model.image_tower.image_tower.vision_model.encoder.layers.2.layer_norm2.bias": "model-00002-of-00002.safetensors",
78
+ "model.image_tower.image_tower.vision_model.encoder.layers.2.layer_norm2.weight": "model-00002-of-00002.safetensors",
79
+ "model.image_tower.image_tower.vision_model.encoder.layers.2.mlp.fc1.bias": "model-00002-of-00002.safetensors",
80
+ "model.image_tower.image_tower.vision_model.encoder.layers.2.mlp.fc1.weight": "model-00002-of-00002.safetensors",
81
+ "model.image_tower.image_tower.vision_model.encoder.layers.2.mlp.fc2.bias": "model-00002-of-00002.safetensors",
82
+ "model.image_tower.image_tower.vision_model.encoder.layers.2.mlp.fc2.weight": "model-00002-of-00002.safetensors",
83
+ "model.image_tower.image_tower.vision_model.encoder.layers.2.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
84
+ "model.image_tower.image_tower.vision_model.encoder.layers.2.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
85
+ "model.image_tower.image_tower.vision_model.encoder.layers.2.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
86
+ "model.image_tower.image_tower.vision_model.encoder.layers.2.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
87
+ "model.image_tower.image_tower.vision_model.encoder.layers.2.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
88
+ "model.image_tower.image_tower.vision_model.encoder.layers.2.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
89
+ "model.image_tower.image_tower.vision_model.encoder.layers.2.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
90
+ "model.image_tower.image_tower.vision_model.encoder.layers.2.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
91
+ "model.image_tower.image_tower.vision_model.encoder.layers.3.layer_norm1.bias": "model-00002-of-00002.safetensors",
92
+ "model.image_tower.image_tower.vision_model.encoder.layers.3.layer_norm1.weight": "model-00002-of-00002.safetensors",
93
+ "model.image_tower.image_tower.vision_model.encoder.layers.3.layer_norm2.bias": "model-00002-of-00002.safetensors",
94
+ "model.image_tower.image_tower.vision_model.encoder.layers.3.layer_norm2.weight": "model-00002-of-00002.safetensors",
95
+ "model.image_tower.image_tower.vision_model.encoder.layers.3.mlp.fc1.bias": "model-00002-of-00002.safetensors",
96
+ "model.image_tower.image_tower.vision_model.encoder.layers.3.mlp.fc1.weight": "model-00002-of-00002.safetensors",
97
+ "model.image_tower.image_tower.vision_model.encoder.layers.3.mlp.fc2.bias": "model-00002-of-00002.safetensors",
98
+ "model.image_tower.image_tower.vision_model.encoder.layers.3.mlp.fc2.weight": "model-00002-of-00002.safetensors",
99
+ "model.image_tower.image_tower.vision_model.encoder.layers.3.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
100
+ "model.image_tower.image_tower.vision_model.encoder.layers.3.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
101
+ "model.image_tower.image_tower.vision_model.encoder.layers.3.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
102
+ "model.image_tower.image_tower.vision_model.encoder.layers.3.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
103
+ "model.image_tower.image_tower.vision_model.encoder.layers.3.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
104
+ "model.image_tower.image_tower.vision_model.encoder.layers.3.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
105
+ "model.image_tower.image_tower.vision_model.encoder.layers.3.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
106
+ "model.image_tower.image_tower.vision_model.encoder.layers.3.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
107
+ "model.image_tower.image_tower.vision_model.encoder.layers.4.layer_norm1.bias": "model-00002-of-00002.safetensors",
108
+ "model.image_tower.image_tower.vision_model.encoder.layers.4.layer_norm1.weight": "model-00002-of-00002.safetensors",
109
+ "model.image_tower.image_tower.vision_model.encoder.layers.4.layer_norm2.bias": "model-00002-of-00002.safetensors",
110
+ "model.image_tower.image_tower.vision_model.encoder.layers.4.layer_norm2.weight": "model-00002-of-00002.safetensors",
111
+ "model.image_tower.image_tower.vision_model.encoder.layers.4.mlp.fc1.bias": "model-00002-of-00002.safetensors",
112
+ "model.image_tower.image_tower.vision_model.encoder.layers.4.mlp.fc1.weight": "model-00002-of-00002.safetensors",
113
+ "model.image_tower.image_tower.vision_model.encoder.layers.4.mlp.fc2.bias": "model-00002-of-00002.safetensors",
114
+ "model.image_tower.image_tower.vision_model.encoder.layers.4.mlp.fc2.weight": "model-00002-of-00002.safetensors",
115
+ "model.image_tower.image_tower.vision_model.encoder.layers.4.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
116
+ "model.image_tower.image_tower.vision_model.encoder.layers.4.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
117
+ "model.image_tower.image_tower.vision_model.encoder.layers.4.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
118
+ "model.image_tower.image_tower.vision_model.encoder.layers.4.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
119
+ "model.image_tower.image_tower.vision_model.encoder.layers.4.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
120
+ "model.image_tower.image_tower.vision_model.encoder.layers.4.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
121
+ "model.image_tower.image_tower.vision_model.encoder.layers.4.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
122
+ "model.image_tower.image_tower.vision_model.encoder.layers.4.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
123
+ "model.image_tower.image_tower.vision_model.encoder.layers.5.layer_norm1.bias": "model-00002-of-00002.safetensors",
124
+ "model.image_tower.image_tower.vision_model.encoder.layers.5.layer_norm1.weight": "model-00002-of-00002.safetensors",
125
+ "model.image_tower.image_tower.vision_model.encoder.layers.5.layer_norm2.bias": "model-00002-of-00002.safetensors",
126
+ "model.image_tower.image_tower.vision_model.encoder.layers.5.layer_norm2.weight": "model-00002-of-00002.safetensors",
127
+ "model.image_tower.image_tower.vision_model.encoder.layers.5.mlp.fc1.bias": "model-00002-of-00002.safetensors",
128
+ "model.image_tower.image_tower.vision_model.encoder.layers.5.mlp.fc1.weight": "model-00002-of-00002.safetensors",
129
+ "model.image_tower.image_tower.vision_model.encoder.layers.5.mlp.fc2.bias": "model-00002-of-00002.safetensors",
130
+ "model.image_tower.image_tower.vision_model.encoder.layers.5.mlp.fc2.weight": "model-00002-of-00002.safetensors",
131
+ "model.image_tower.image_tower.vision_model.encoder.layers.5.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
132
+ "model.image_tower.image_tower.vision_model.encoder.layers.5.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
133
+ "model.image_tower.image_tower.vision_model.encoder.layers.5.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
134
+ "model.image_tower.image_tower.vision_model.encoder.layers.5.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
135
+ "model.image_tower.image_tower.vision_model.encoder.layers.5.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
136
+ "model.image_tower.image_tower.vision_model.encoder.layers.5.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
137
+ "model.image_tower.image_tower.vision_model.encoder.layers.5.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
138
+ "model.image_tower.image_tower.vision_model.encoder.layers.5.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
139
+ "model.image_tower.image_tower.vision_model.encoder.layers.6.layer_norm1.bias": "model-00002-of-00002.safetensors",
140
+ "model.image_tower.image_tower.vision_model.encoder.layers.6.layer_norm1.weight": "model-00002-of-00002.safetensors",
141
+ "model.image_tower.image_tower.vision_model.encoder.layers.6.layer_norm2.bias": "model-00002-of-00002.safetensors",
142
+ "model.image_tower.image_tower.vision_model.encoder.layers.6.layer_norm2.weight": "model-00002-of-00002.safetensors",
143
+ "model.image_tower.image_tower.vision_model.encoder.layers.6.mlp.fc1.bias": "model-00002-of-00002.safetensors",
144
+ "model.image_tower.image_tower.vision_model.encoder.layers.6.mlp.fc1.weight": "model-00002-of-00002.safetensors",
145
+ "model.image_tower.image_tower.vision_model.encoder.layers.6.mlp.fc2.bias": "model-00002-of-00002.safetensors",
146
+ "model.image_tower.image_tower.vision_model.encoder.layers.6.mlp.fc2.weight": "model-00002-of-00002.safetensors",
147
+ "model.image_tower.image_tower.vision_model.encoder.layers.6.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
148
+ "model.image_tower.image_tower.vision_model.encoder.layers.6.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
149
+ "model.image_tower.image_tower.vision_model.encoder.layers.6.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
150
+ "model.image_tower.image_tower.vision_model.encoder.layers.6.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
151
+ "model.image_tower.image_tower.vision_model.encoder.layers.6.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
152
+ "model.image_tower.image_tower.vision_model.encoder.layers.6.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
153
+ "model.image_tower.image_tower.vision_model.encoder.layers.6.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
154
+ "model.image_tower.image_tower.vision_model.encoder.layers.6.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
155
+ "model.image_tower.image_tower.vision_model.encoder.layers.7.layer_norm1.bias": "model-00002-of-00002.safetensors",
156
+ "model.image_tower.image_tower.vision_model.encoder.layers.7.layer_norm1.weight": "model-00002-of-00002.safetensors",
157
+ "model.image_tower.image_tower.vision_model.encoder.layers.7.layer_norm2.bias": "model-00002-of-00002.safetensors",
158
+ "model.image_tower.image_tower.vision_model.encoder.layers.7.layer_norm2.weight": "model-00002-of-00002.safetensors",
159
+ "model.image_tower.image_tower.vision_model.encoder.layers.7.mlp.fc1.bias": "model-00002-of-00002.safetensors",
160
+ "model.image_tower.image_tower.vision_model.encoder.layers.7.mlp.fc1.weight": "model-00002-of-00002.safetensors",
161
+ "model.image_tower.image_tower.vision_model.encoder.layers.7.mlp.fc2.bias": "model-00002-of-00002.safetensors",
162
+ "model.image_tower.image_tower.vision_model.encoder.layers.7.mlp.fc2.weight": "model-00002-of-00002.safetensors",
163
+ "model.image_tower.image_tower.vision_model.encoder.layers.7.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
164
+ "model.image_tower.image_tower.vision_model.encoder.layers.7.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
165
+ "model.image_tower.image_tower.vision_model.encoder.layers.7.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
166
+ "model.image_tower.image_tower.vision_model.encoder.layers.7.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
167
+ "model.image_tower.image_tower.vision_model.encoder.layers.7.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
168
+ "model.image_tower.image_tower.vision_model.encoder.layers.7.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
169
+ "model.image_tower.image_tower.vision_model.encoder.layers.7.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
170
+ "model.image_tower.image_tower.vision_model.encoder.layers.7.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
171
+ "model.image_tower.image_tower.vision_model.encoder.layers.8.layer_norm1.bias": "model-00002-of-00002.safetensors",
172
+ "model.image_tower.image_tower.vision_model.encoder.layers.8.layer_norm1.weight": "model-00002-of-00002.safetensors",
173
+ "model.image_tower.image_tower.vision_model.encoder.layers.8.layer_norm2.bias": "model-00002-of-00002.safetensors",
174
+ "model.image_tower.image_tower.vision_model.encoder.layers.8.layer_norm2.weight": "model-00002-of-00002.safetensors",
175
+ "model.image_tower.image_tower.vision_model.encoder.layers.8.mlp.fc1.bias": "model-00002-of-00002.safetensors",
176
+ "model.image_tower.image_tower.vision_model.encoder.layers.8.mlp.fc1.weight": "model-00002-of-00002.safetensors",
177
+ "model.image_tower.image_tower.vision_model.encoder.layers.8.mlp.fc2.bias": "model-00002-of-00002.safetensors",
178
+ "model.image_tower.image_tower.vision_model.encoder.layers.8.mlp.fc2.weight": "model-00002-of-00002.safetensors",
179
+ "model.image_tower.image_tower.vision_model.encoder.layers.8.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
180
+ "model.image_tower.image_tower.vision_model.encoder.layers.8.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
181
+ "model.image_tower.image_tower.vision_model.encoder.layers.8.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
182
+ "model.image_tower.image_tower.vision_model.encoder.layers.8.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
183
+ "model.image_tower.image_tower.vision_model.encoder.layers.8.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
184
+ "model.image_tower.image_tower.vision_model.encoder.layers.8.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
185
+ "model.image_tower.image_tower.vision_model.encoder.layers.8.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
186
+ "model.image_tower.image_tower.vision_model.encoder.layers.8.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
187
+ "model.image_tower.image_tower.vision_model.encoder.layers.9.layer_norm1.bias": "model-00002-of-00002.safetensors",
188
+ "model.image_tower.image_tower.vision_model.encoder.layers.9.layer_norm1.weight": "model-00002-of-00002.safetensors",
189
+ "model.image_tower.image_tower.vision_model.encoder.layers.9.layer_norm2.bias": "model-00002-of-00002.safetensors",
190
+ "model.image_tower.image_tower.vision_model.encoder.layers.9.layer_norm2.weight": "model-00002-of-00002.safetensors",
191
+ "model.image_tower.image_tower.vision_model.encoder.layers.9.mlp.fc1.bias": "model-00002-of-00002.safetensors",
192
+ "model.image_tower.image_tower.vision_model.encoder.layers.9.mlp.fc1.weight": "model-00002-of-00002.safetensors",
193
+ "model.image_tower.image_tower.vision_model.encoder.layers.9.mlp.fc2.bias": "model-00002-of-00002.safetensors",
194
+ "model.image_tower.image_tower.vision_model.encoder.layers.9.mlp.fc2.weight": "model-00002-of-00002.safetensors",
195
+ "model.image_tower.image_tower.vision_model.encoder.layers.9.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
196
+ "model.image_tower.image_tower.vision_model.encoder.layers.9.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
197
+ "model.image_tower.image_tower.vision_model.encoder.layers.9.self_attn.out_proj.bias": "model-00002-of-00002.safetensors",
198
+ "model.image_tower.image_tower.vision_model.encoder.layers.9.self_attn.out_proj.weight": "model-00002-of-00002.safetensors",
199
+ "model.image_tower.image_tower.vision_model.encoder.layers.9.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
200
+ "model.image_tower.image_tower.vision_model.encoder.layers.9.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
201
+ "model.image_tower.image_tower.vision_model.encoder.layers.9.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
202
+ "model.image_tower.image_tower.vision_model.encoder.layers.9.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
203
+ "model.image_tower.image_tower.vision_model.head.attention.in_proj_bias": "model-00002-of-00002.safetensors",
204
+ "model.image_tower.image_tower.vision_model.head.attention.in_proj_weight": "model-00002-of-00002.safetensors",
205
+ "model.image_tower.image_tower.vision_model.head.attention.out_proj.bias": "model-00002-of-00002.safetensors",
206
+ "model.image_tower.image_tower.vision_model.head.attention.out_proj.weight": "model-00002-of-00002.safetensors",
207
+ "model.image_tower.image_tower.vision_model.head.layernorm.bias": "model-00002-of-00002.safetensors",
208
+ "model.image_tower.image_tower.vision_model.head.layernorm.weight": "model-00002-of-00002.safetensors",
209
+ "model.image_tower.image_tower.vision_model.head.mlp.fc1.bias": "model-00002-of-00002.safetensors",
210
+ "model.image_tower.image_tower.vision_model.head.mlp.fc1.weight": "model-00002-of-00002.safetensors",
211
+ "model.image_tower.image_tower.vision_model.head.mlp.fc2.bias": "model-00002-of-00002.safetensors",
212
+ "model.image_tower.image_tower.vision_model.head.mlp.fc2.weight": "model-00002-of-00002.safetensors",
213
+ "model.image_tower.image_tower.vision_model.head.probe": "model-00002-of-00002.safetensors",
214
+ "model.image_tower.image_tower.vision_model.post_layernorm.bias": "model-00002-of-00002.safetensors",
215
+ "model.image_tower.image_tower.vision_model.post_layernorm.weight": "model-00002-of-00002.safetensors",
216
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
217
+ "model.layers.0.mlp.deepspeed_moe.experts.deepspeed_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
218
+ "model.layers.0.mlp.deepspeed_moe.experts.deepspeed_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
219
+ "model.layers.0.mlp.deepspeed_moe.experts.deepspeed_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
220
+ "model.layers.0.mlp.deepspeed_moe.experts.deepspeed_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
221
+ "model.layers.0.mlp.deepspeed_moe.experts.deepspeed_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
222
+ "model.layers.0.mlp.deepspeed_moe.experts.deepspeed_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
223
+ "model.layers.0.mlp.deepspeed_moe.experts.deepspeed_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
224
+ "model.layers.0.mlp.deepspeed_moe.experts.deepspeed_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
225
+ "model.layers.0.mlp.deepspeed_moe.experts.deepspeed_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
226
+ "model.layers.0.mlp.deepspeed_moe.experts.deepspeed_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
227
+ "model.layers.0.mlp.deepspeed_moe.experts.deepspeed_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
228
+ "model.layers.0.mlp.deepspeed_moe.experts.deepspeed_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
229
+ "model.layers.0.mlp.deepspeed_moe.gate.wg.weight": "model-00001-of-00002.safetensors",
230
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
231
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
232
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
233
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
234
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
235
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
236
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
237
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
238
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
239
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
240
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
241
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
242
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
243
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
244
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
245
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
246
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
247
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
248
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
249
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
250
+ "model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
251
+ "model.layers.10.mlp.deepspeed_moe.experts.deepspeed_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
252
+ "model.layers.10.mlp.deepspeed_moe.experts.deepspeed_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
253
+ "model.layers.10.mlp.deepspeed_moe.experts.deepspeed_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
254
+ "model.layers.10.mlp.deepspeed_moe.experts.deepspeed_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
255
+ "model.layers.10.mlp.deepspeed_moe.experts.deepspeed_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
256
+ "model.layers.10.mlp.deepspeed_moe.experts.deepspeed_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
257
+ "model.layers.10.mlp.deepspeed_moe.experts.deepspeed_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
258
+ "model.layers.10.mlp.deepspeed_moe.experts.deepspeed_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
259
+ "model.layers.10.mlp.deepspeed_moe.experts.deepspeed_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
260
+ "model.layers.10.mlp.deepspeed_moe.experts.deepspeed_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
261
+ "model.layers.10.mlp.deepspeed_moe.experts.deepspeed_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
262
+ "model.layers.10.mlp.deepspeed_moe.experts.deepspeed_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
263
+ "model.layers.10.mlp.deepspeed_moe.gate.wg.weight": "model-00001-of-00002.safetensors",
264
+ "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
265
+ "model.layers.10.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
266
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
267
+ "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
268
+ "model.layers.10.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
269
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
270
+ "model.layers.10.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
271
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
272
+ "model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
273
+ "model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
274
+ "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
275
+ "model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
276
+ "model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
277
+ "model.layers.11.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
278
+ "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
279
+ "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
280
+ "model.layers.11.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
281
+ "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
282
+ "model.layers.11.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
283
+ "model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
284
+ "model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
285
+ "model.layers.12.mlp.deepspeed_moe.experts.deepspeed_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
286
+ "model.layers.12.mlp.deepspeed_moe.experts.deepspeed_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
287
+ "model.layers.12.mlp.deepspeed_moe.experts.deepspeed_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
288
+ "model.layers.12.mlp.deepspeed_moe.experts.deepspeed_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
289
+ "model.layers.12.mlp.deepspeed_moe.experts.deepspeed_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
290
+ "model.layers.12.mlp.deepspeed_moe.experts.deepspeed_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
291
+ "model.layers.12.mlp.deepspeed_moe.experts.deepspeed_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
292
+ "model.layers.12.mlp.deepspeed_moe.experts.deepspeed_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
293
+ "model.layers.12.mlp.deepspeed_moe.experts.deepspeed_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
294
+ "model.layers.12.mlp.deepspeed_moe.experts.deepspeed_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
295
+ "model.layers.12.mlp.deepspeed_moe.experts.deepspeed_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
296
+ "model.layers.12.mlp.deepspeed_moe.experts.deepspeed_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
297
+ "model.layers.12.mlp.deepspeed_moe.gate.wg.weight": "model-00001-of-00002.safetensors",
298
+ "model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
299
+ "model.layers.12.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
300
+ "model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
301
+ "model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
302
+ "model.layers.12.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
303
+ "model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
304
+ "model.layers.12.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
305
+ "model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
306
+ "model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
307
+ "model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
308
+ "model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
309
+ "model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
310
+ "model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
311
+ "model.layers.13.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
312
+ "model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
313
+ "model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
314
+ "model.layers.13.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
315
+ "model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
316
+ "model.layers.13.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
317
+ "model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
318
+ "model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
319
+ "model.layers.14.mlp.deepspeed_moe.experts.deepspeed_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
320
+ "model.layers.14.mlp.deepspeed_moe.experts.deepspeed_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
321
+ "model.layers.14.mlp.deepspeed_moe.experts.deepspeed_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
322
+ "model.layers.14.mlp.deepspeed_moe.experts.deepspeed_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
323
+ "model.layers.14.mlp.deepspeed_moe.experts.deepspeed_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
324
+ "model.layers.14.mlp.deepspeed_moe.experts.deepspeed_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
325
+ "model.layers.14.mlp.deepspeed_moe.experts.deepspeed_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
326
+ "model.layers.14.mlp.deepspeed_moe.experts.deepspeed_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
327
+ "model.layers.14.mlp.deepspeed_moe.experts.deepspeed_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
328
+ "model.layers.14.mlp.deepspeed_moe.experts.deepspeed_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
329
+ "model.layers.14.mlp.deepspeed_moe.experts.deepspeed_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
330
+ "model.layers.14.mlp.deepspeed_moe.experts.deepspeed_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
331
+ "model.layers.14.mlp.deepspeed_moe.gate.wg.weight": "model-00001-of-00002.safetensors",
332
+ "model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
333
+ "model.layers.14.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
334
+ "model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
335
+ "model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
336
+ "model.layers.14.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
337
+ "model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
338
+ "model.layers.14.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
339
+ "model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
340
+ "model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
341
+ "model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
342
+ "model.layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
343
+ "model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
344
+ "model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
345
+ "model.layers.15.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
346
+ "model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
347
+ "model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
348
+ "model.layers.15.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
349
+ "model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
350
+ "model.layers.15.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
351
+ "model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
352
+ "model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
353
+ "model.layers.16.mlp.deepspeed_moe.experts.deepspeed_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
354
+ "model.layers.16.mlp.deepspeed_moe.experts.deepspeed_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
355
+ "model.layers.16.mlp.deepspeed_moe.experts.deepspeed_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
356
+ "model.layers.16.mlp.deepspeed_moe.experts.deepspeed_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
357
+ "model.layers.16.mlp.deepspeed_moe.experts.deepspeed_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
358
+ "model.layers.16.mlp.deepspeed_moe.experts.deepspeed_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
359
+ "model.layers.16.mlp.deepspeed_moe.experts.deepspeed_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
360
+ "model.layers.16.mlp.deepspeed_moe.experts.deepspeed_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
361
+ "model.layers.16.mlp.deepspeed_moe.experts.deepspeed_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
362
+ "model.layers.16.mlp.deepspeed_moe.experts.deepspeed_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
363
+ "model.layers.16.mlp.deepspeed_moe.experts.deepspeed_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
364
+ "model.layers.16.mlp.deepspeed_moe.experts.deepspeed_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
365
+ "model.layers.16.mlp.deepspeed_moe.gate.wg.weight": "model-00001-of-00002.safetensors",
366
+ "model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
367
+ "model.layers.16.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
368
+ "model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
369
+ "model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
370
+ "model.layers.16.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
371
+ "model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
372
+ "model.layers.16.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
373
+ "model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
374
+ "model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
375
+ "model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
376
+ "model.layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
377
+ "model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
378
+ "model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
379
+ "model.layers.17.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
380
+ "model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
381
+ "model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
382
+ "model.layers.17.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
383
+ "model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
384
+ "model.layers.17.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
385
+ "model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
386
+ "model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
387
+ "model.layers.18.mlp.deepspeed_moe.experts.deepspeed_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
388
+ "model.layers.18.mlp.deepspeed_moe.experts.deepspeed_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
389
+ "model.layers.18.mlp.deepspeed_moe.experts.deepspeed_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
390
+ "model.layers.18.mlp.deepspeed_moe.experts.deepspeed_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
391
+ "model.layers.18.mlp.deepspeed_moe.experts.deepspeed_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
392
+ "model.layers.18.mlp.deepspeed_moe.experts.deepspeed_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
393
+ "model.layers.18.mlp.deepspeed_moe.experts.deepspeed_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
394
+ "model.layers.18.mlp.deepspeed_moe.experts.deepspeed_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
395
+ "model.layers.18.mlp.deepspeed_moe.experts.deepspeed_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
396
+ "model.layers.18.mlp.deepspeed_moe.experts.deepspeed_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
397
+ "model.layers.18.mlp.deepspeed_moe.experts.deepspeed_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
398
+ "model.layers.18.mlp.deepspeed_moe.experts.deepspeed_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
399
+ "model.layers.18.mlp.deepspeed_moe.gate.wg.weight": "model-00001-of-00002.safetensors",
400
+ "model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
401
+ "model.layers.18.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
402
+ "model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
403
+ "model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
404
+ "model.layers.18.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
405
+ "model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
406
+ "model.layers.18.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
407
+ "model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
408
+ "model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
409
+ "model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
410
+ "model.layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
411
+ "model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
412
+ "model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
413
+ "model.layers.19.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
414
+ "model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
415
+ "model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
416
+ "model.layers.19.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
417
+ "model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
418
+ "model.layers.19.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
419
+ "model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
420
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
421
+ "model.layers.2.mlp.deepspeed_moe.experts.deepspeed_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
422
+ "model.layers.2.mlp.deepspeed_moe.experts.deepspeed_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
423
+ "model.layers.2.mlp.deepspeed_moe.experts.deepspeed_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
424
+ "model.layers.2.mlp.deepspeed_moe.experts.deepspeed_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
425
+ "model.layers.2.mlp.deepspeed_moe.experts.deepspeed_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
426
+ "model.layers.2.mlp.deepspeed_moe.experts.deepspeed_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
427
+ "model.layers.2.mlp.deepspeed_moe.experts.deepspeed_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
428
+ "model.layers.2.mlp.deepspeed_moe.experts.deepspeed_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
429
+ "model.layers.2.mlp.deepspeed_moe.experts.deepspeed_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
430
+ "model.layers.2.mlp.deepspeed_moe.experts.deepspeed_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
431
+ "model.layers.2.mlp.deepspeed_moe.experts.deepspeed_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
432
+ "model.layers.2.mlp.deepspeed_moe.experts.deepspeed_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
433
+ "model.layers.2.mlp.deepspeed_moe.gate.wg.weight": "model-00001-of-00002.safetensors",
434
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
435
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
436
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
437
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
438
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
439
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
440
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
441
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
442
+ "model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
443
+ "model.layers.20.mlp.deepspeed_moe.experts.deepspeed_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
444
+ "model.layers.20.mlp.deepspeed_moe.experts.deepspeed_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
445
+ "model.layers.20.mlp.deepspeed_moe.experts.deepspeed_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
446
+ "model.layers.20.mlp.deepspeed_moe.experts.deepspeed_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
447
+ "model.layers.20.mlp.deepspeed_moe.experts.deepspeed_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
448
+ "model.layers.20.mlp.deepspeed_moe.experts.deepspeed_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
449
+ "model.layers.20.mlp.deepspeed_moe.experts.deepspeed_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
450
+ "model.layers.20.mlp.deepspeed_moe.experts.deepspeed_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
451
+ "model.layers.20.mlp.deepspeed_moe.experts.deepspeed_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
452
+ "model.layers.20.mlp.deepspeed_moe.experts.deepspeed_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
453
+ "model.layers.20.mlp.deepspeed_moe.experts.deepspeed_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
454
+ "model.layers.20.mlp.deepspeed_moe.experts.deepspeed_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
455
+ "model.layers.20.mlp.deepspeed_moe.gate.wg.weight": "model-00001-of-00002.safetensors",
456
+ "model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
457
+ "model.layers.20.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
458
+ "model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
459
+ "model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
460
+ "model.layers.20.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
461
+ "model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
462
+ "model.layers.20.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
463
+ "model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
464
+ "model.layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
465
+ "model.layers.21.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
466
+ "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
467
+ "model.layers.21.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
468
+ "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
469
+ "model.layers.21.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
470
+ "model.layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
471
+ "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
472
+ "model.layers.21.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
473
+ "model.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
474
+ "model.layers.21.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
475
+ "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
476
+ "model.layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
477
+ "model.layers.22.mlp.deepspeed_moe.experts.deepspeed_experts.0.down_proj.weight": "model-00002-of-00002.safetensors",
478
+ "model.layers.22.mlp.deepspeed_moe.experts.deepspeed_experts.0.gate_proj.weight": "model-00002-of-00002.safetensors",
479
+ "model.layers.22.mlp.deepspeed_moe.experts.deepspeed_experts.0.up_proj.weight": "model-00002-of-00002.safetensors",
480
+ "model.layers.22.mlp.deepspeed_moe.experts.deepspeed_experts.1.down_proj.weight": "model-00002-of-00002.safetensors",
481
+ "model.layers.22.mlp.deepspeed_moe.experts.deepspeed_experts.1.gate_proj.weight": "model-00002-of-00002.safetensors",
482
+ "model.layers.22.mlp.deepspeed_moe.experts.deepspeed_experts.1.up_proj.weight": "model-00002-of-00002.safetensors",
483
+ "model.layers.22.mlp.deepspeed_moe.experts.deepspeed_experts.2.down_proj.weight": "model-00002-of-00002.safetensors",
484
+ "model.layers.22.mlp.deepspeed_moe.experts.deepspeed_experts.2.gate_proj.weight": "model-00002-of-00002.safetensors",
485
+ "model.layers.22.mlp.deepspeed_moe.experts.deepspeed_experts.2.up_proj.weight": "model-00002-of-00002.safetensors",
486
+ "model.layers.22.mlp.deepspeed_moe.experts.deepspeed_experts.3.down_proj.weight": "model-00002-of-00002.safetensors",
487
+ "model.layers.22.mlp.deepspeed_moe.experts.deepspeed_experts.3.gate_proj.weight": "model-00002-of-00002.safetensors",
488
+ "model.layers.22.mlp.deepspeed_moe.experts.deepspeed_experts.3.up_proj.weight": "model-00002-of-00002.safetensors",
489
+ "model.layers.22.mlp.deepspeed_moe.gate.wg.weight": "model-00002-of-00002.safetensors",
490
+ "model.layers.22.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
491
+ "model.layers.22.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
492
+ "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
493
+ "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
494
+ "model.layers.22.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
495
+ "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
496
+ "model.layers.22.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
497
+ "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
498
+ "model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
499
+ "model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
500
+ "model.layers.23.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
501
+ "model.layers.23.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
502
+ "model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
503
+ "model.layers.23.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
504
+ "model.layers.23.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
505
+ "model.layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
506
+ "model.layers.23.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
507
+ "model.layers.23.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
508
+ "model.layers.23.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
509
+ "model.layers.23.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
510
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
511
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
512
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
513
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
514
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
515
+ "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
516
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
517
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
518
+ "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
519
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
520
+ "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
521
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
522
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
523
+ "model.layers.4.mlp.deepspeed_moe.experts.deepspeed_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
524
+ "model.layers.4.mlp.deepspeed_moe.experts.deepspeed_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
525
+ "model.layers.4.mlp.deepspeed_moe.experts.deepspeed_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
526
+ "model.layers.4.mlp.deepspeed_moe.experts.deepspeed_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
527
+ "model.layers.4.mlp.deepspeed_moe.experts.deepspeed_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
528
+ "model.layers.4.mlp.deepspeed_moe.experts.deepspeed_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
529
+ "model.layers.4.mlp.deepspeed_moe.experts.deepspeed_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
530
+ "model.layers.4.mlp.deepspeed_moe.experts.deepspeed_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
531
+ "model.layers.4.mlp.deepspeed_moe.experts.deepspeed_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
532
+ "model.layers.4.mlp.deepspeed_moe.experts.deepspeed_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
533
+ "model.layers.4.mlp.deepspeed_moe.experts.deepspeed_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
534
+ "model.layers.4.mlp.deepspeed_moe.experts.deepspeed_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
535
+ "model.layers.4.mlp.deepspeed_moe.gate.wg.weight": "model-00001-of-00002.safetensors",
536
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
537
+ "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
538
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
539
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
540
+ "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
541
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
542
+ "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
543
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
544
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
545
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
546
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
547
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
548
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
549
+ "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
550
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
551
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
552
+ "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
553
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
554
+ "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
555
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
556
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
557
+ "model.layers.6.mlp.deepspeed_moe.experts.deepspeed_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
558
+ "model.layers.6.mlp.deepspeed_moe.experts.deepspeed_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
559
+ "model.layers.6.mlp.deepspeed_moe.experts.deepspeed_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
560
+ "model.layers.6.mlp.deepspeed_moe.experts.deepspeed_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
561
+ "model.layers.6.mlp.deepspeed_moe.experts.deepspeed_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
562
+ "model.layers.6.mlp.deepspeed_moe.experts.deepspeed_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
563
+ "model.layers.6.mlp.deepspeed_moe.experts.deepspeed_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
564
+ "model.layers.6.mlp.deepspeed_moe.experts.deepspeed_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
565
+ "model.layers.6.mlp.deepspeed_moe.experts.deepspeed_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
566
+ "model.layers.6.mlp.deepspeed_moe.experts.deepspeed_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
567
+ "model.layers.6.mlp.deepspeed_moe.experts.deepspeed_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
568
+ "model.layers.6.mlp.deepspeed_moe.experts.deepspeed_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
569
+ "model.layers.6.mlp.deepspeed_moe.gate.wg.weight": "model-00001-of-00002.safetensors",
570
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
571
+ "model.layers.6.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
572
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
573
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
574
+ "model.layers.6.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
575
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
576
+ "model.layers.6.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
577
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
578
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
579
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
580
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
581
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
582
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
583
+ "model.layers.7.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
584
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
585
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
586
+ "model.layers.7.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
587
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
588
+ "model.layers.7.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
589
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
590
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
591
+ "model.layers.8.mlp.deepspeed_moe.experts.deepspeed_experts.0.down_proj.weight": "model-00001-of-00002.safetensors",
592
+ "model.layers.8.mlp.deepspeed_moe.experts.deepspeed_experts.0.gate_proj.weight": "model-00001-of-00002.safetensors",
593
+ "model.layers.8.mlp.deepspeed_moe.experts.deepspeed_experts.0.up_proj.weight": "model-00001-of-00002.safetensors",
594
+ "model.layers.8.mlp.deepspeed_moe.experts.deepspeed_experts.1.down_proj.weight": "model-00001-of-00002.safetensors",
595
+ "model.layers.8.mlp.deepspeed_moe.experts.deepspeed_experts.1.gate_proj.weight": "model-00001-of-00002.safetensors",
596
+ "model.layers.8.mlp.deepspeed_moe.experts.deepspeed_experts.1.up_proj.weight": "model-00001-of-00002.safetensors",
597
+ "model.layers.8.mlp.deepspeed_moe.experts.deepspeed_experts.2.down_proj.weight": "model-00001-of-00002.safetensors",
598
+ "model.layers.8.mlp.deepspeed_moe.experts.deepspeed_experts.2.gate_proj.weight": "model-00001-of-00002.safetensors",
599
+ "model.layers.8.mlp.deepspeed_moe.experts.deepspeed_experts.2.up_proj.weight": "model-00001-of-00002.safetensors",
600
+ "model.layers.8.mlp.deepspeed_moe.experts.deepspeed_experts.3.down_proj.weight": "model-00001-of-00002.safetensors",
601
+ "model.layers.8.mlp.deepspeed_moe.experts.deepspeed_experts.3.gate_proj.weight": "model-00001-of-00002.safetensors",
602
+ "model.layers.8.mlp.deepspeed_moe.experts.deepspeed_experts.3.up_proj.weight": "model-00001-of-00002.safetensors",
603
+ "model.layers.8.mlp.deepspeed_moe.gate.wg.weight": "model-00001-of-00002.safetensors",
604
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
605
+ "model.layers.8.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
606
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
607
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
608
+ "model.layers.8.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
609
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
610
+ "model.layers.8.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
611
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
612
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
613
+ "model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
614
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
615
+ "model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
616
+ "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
617
+ "model.layers.9.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
618
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
619
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
620
+ "model.layers.9.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
621
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
622
+ "model.layers.9.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
623
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
624
+ "model.mm_projector.image_spatial_proj.0.bias": "model-00002-of-00002.safetensors",
625
+ "model.mm_projector.image_spatial_proj.0.weight": "model-00002-of-00002.safetensors",
626
+ "model.mm_projector.image_spatial_proj.2.bias": "model-00002-of-00002.safetensors",
627
+ "model.mm_projector.image_spatial_proj.2.weight": "model-00002-of-00002.safetensors",
628
+ "model.norm.weight": "model-00002-of-00002.safetensors"
629
+ }
630
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:06a690a4cc93095148d000c2a476170ba0c799fc09cb0e5d36fc3ba6155ffc04
3
+ size 6303861801
trainer_state.json ADDED
@@ -0,0 +1,1650 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.9999075529259499,
5
+ "eval_steps": 500,
6
+ "global_step": 5408,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0,
13
+ "learning_rate": 2.45398773006135e-06,
14
+ "loss": 1.4655,
15
+ "step": 20
16
+ },
17
+ {
18
+ "epoch": 0.01,
19
+ "learning_rate": 4.9079754601227e-06,
20
+ "loss": 1.4595,
21
+ "step": 40
22
+ },
23
+ {
24
+ "epoch": 0.01,
25
+ "learning_rate": 7.36196319018405e-06,
26
+ "loss": 1.4546,
27
+ "step": 60
28
+ },
29
+ {
30
+ "epoch": 0.01,
31
+ "learning_rate": 9.8159509202454e-06,
32
+ "loss": 1.4591,
33
+ "step": 80
34
+ },
35
+ {
36
+ "epoch": 0.02,
37
+ "learning_rate": 1.226993865030675e-05,
38
+ "loss": 1.4607,
39
+ "step": 100
40
+ },
41
+ {
42
+ "epoch": 0.02,
43
+ "learning_rate": 1.47239263803681e-05,
44
+ "loss": 1.4737,
45
+ "step": 120
46
+ },
47
+ {
48
+ "epoch": 0.03,
49
+ "learning_rate": 1.717791411042945e-05,
50
+ "loss": 1.4726,
51
+ "step": 140
52
+ },
53
+ {
54
+ "epoch": 0.03,
55
+ "learning_rate": 1.96319018404908e-05,
56
+ "loss": 1.4924,
57
+ "step": 160
58
+ },
59
+ {
60
+ "epoch": 0.03,
61
+ "learning_rate": 1.999948159061518e-05,
62
+ "loss": 1.4928,
63
+ "step": 180
64
+ },
65
+ {
66
+ "epoch": 0.04,
67
+ "learning_rate": 1.9997544361478652e-05,
68
+ "loss": 1.4881,
69
+ "step": 200
70
+ },
71
+ {
72
+ "epoch": 0.04,
73
+ "learning_rate": 1.999417244621822e-05,
74
+ "loss": 1.4819,
75
+ "step": 220
76
+ },
77
+ {
78
+ "epoch": 0.04,
79
+ "learning_rate": 1.9989366328716704e-05,
80
+ "loss": 1.4705,
81
+ "step": 240
82
+ },
83
+ {
84
+ "epoch": 0.05,
85
+ "learning_rate": 1.998312669867048e-05,
86
+ "loss": 1.4718,
87
+ "step": 260
88
+ },
89
+ {
90
+ "epoch": 0.05,
91
+ "learning_rate": 1.99754544514905e-05,
92
+ "loss": 1.4461,
93
+ "step": 280
94
+ },
95
+ {
96
+ "epoch": 0.06,
97
+ "learning_rate": 1.9966350688173777e-05,
98
+ "loss": 1.448,
99
+ "step": 300
100
+ },
101
+ {
102
+ "epoch": 0.06,
103
+ "learning_rate": 1.9955816715145415e-05,
104
+ "loss": 1.4414,
105
+ "step": 320
106
+ },
107
+ {
108
+ "epoch": 0.06,
109
+ "learning_rate": 1.994385404407112e-05,
110
+ "loss": 1.4374,
111
+ "step": 340
112
+ },
113
+ {
114
+ "epoch": 0.07,
115
+ "learning_rate": 1.993046439164027e-05,
116
+ "loss": 1.4346,
117
+ "step": 360
118
+ },
119
+ {
120
+ "epoch": 0.07,
121
+ "learning_rate": 1.9915649679319553e-05,
122
+ "loss": 1.4331,
123
+ "step": 380
124
+ },
125
+ {
126
+ "epoch": 0.07,
127
+ "learning_rate": 1.9899412033077257e-05,
128
+ "loss": 1.4279,
129
+ "step": 400
130
+ },
131
+ {
132
+ "epoch": 0.08,
133
+ "learning_rate": 1.9881753783078163e-05,
134
+ "loss": 1.4332,
135
+ "step": 420
136
+ },
137
+ {
138
+ "epoch": 0.08,
139
+ "learning_rate": 1.986267746334916e-05,
140
+ "loss": 1.44,
141
+ "step": 440
142
+ },
143
+ {
144
+ "epoch": 0.09,
145
+ "learning_rate": 1.98421858114156e-05,
146
+ "loss": 1.4149,
147
+ "step": 460
148
+ },
149
+ {
150
+ "epoch": 0.09,
151
+ "learning_rate": 1.982028176790847e-05,
152
+ "loss": 1.4163,
153
+ "step": 480
154
+ },
155
+ {
156
+ "epoch": 0.09,
157
+ "learning_rate": 1.9796968476142383e-05,
158
+ "loss": 1.4,
159
+ "step": 500
160
+ },
161
+ {
162
+ "epoch": 0.1,
163
+ "learning_rate": 1.97722492816645e-05,
164
+ "loss": 1.4111,
165
+ "step": 520
166
+ },
167
+ {
168
+ "epoch": 0.1,
169
+ "learning_rate": 1.9746127731774444e-05,
170
+ "loss": 1.3904,
171
+ "step": 540
172
+ },
173
+ {
174
+ "epoch": 0.1,
175
+ "learning_rate": 1.971860757501524e-05,
176
+ "loss": 1.3973,
177
+ "step": 560
178
+ },
179
+ {
180
+ "epoch": 0.11,
181
+ "learning_rate": 1.9689692760635374e-05,
182
+ "loss": 1.3839,
183
+ "step": 580
184
+ },
185
+ {
186
+ "epoch": 0.11,
187
+ "learning_rate": 1.9659387438022094e-05,
188
+ "loss": 1.3851,
189
+ "step": 600
190
+ },
191
+ {
192
+ "epoch": 0.11,
193
+ "learning_rate": 1.9627695956105913e-05,
194
+ "loss": 1.3816,
195
+ "step": 620
196
+ },
197
+ {
198
+ "epoch": 0.12,
199
+ "learning_rate": 1.9594622862736563e-05,
200
+ "loss": 1.3843,
201
+ "step": 640
202
+ },
203
+ {
204
+ "epoch": 0.12,
205
+ "learning_rate": 1.9560172904030326e-05,
206
+ "loss": 1.3828,
207
+ "step": 660
208
+ },
209
+ {
210
+ "epoch": 0.13,
211
+ "learning_rate": 1.952435102368897e-05,
212
+ "loss": 1.3724,
213
+ "step": 680
214
+ },
215
+ {
216
+ "epoch": 0.13,
217
+ "learning_rate": 1.94871623622903e-05,
218
+ "loss": 1.3615,
219
+ "step": 700
220
+ },
221
+ {
222
+ "epoch": 0.13,
223
+ "learning_rate": 1.9448612256550472e-05,
224
+ "loss": 1.3732,
225
+ "step": 720
226
+ },
227
+ {
228
+ "epoch": 0.14,
229
+ "learning_rate": 1.940870623855814e-05,
230
+ "loss": 1.3633,
231
+ "step": 740
232
+ },
233
+ {
234
+ "epoch": 0.14,
235
+ "learning_rate": 1.93674500349806e-05,
236
+ "loss": 1.3749,
237
+ "step": 760
238
+ },
239
+ {
240
+ "epoch": 0.14,
241
+ "learning_rate": 1.932484956624197e-05,
242
+ "loss": 1.3663,
243
+ "step": 780
244
+ },
245
+ {
246
+ "epoch": 0.15,
247
+ "learning_rate": 1.9280910945673598e-05,
248
+ "loss": 1.3612,
249
+ "step": 800
250
+ },
251
+ {
252
+ "epoch": 0.15,
253
+ "learning_rate": 1.923564047863678e-05,
254
+ "loss": 1.3705,
255
+ "step": 820
256
+ },
257
+ {
258
+ "epoch": 0.16,
259
+ "learning_rate": 1.9189044661617905e-05,
260
+ "loss": 1.3677,
261
+ "step": 840
262
+ },
263
+ {
264
+ "epoch": 0.16,
265
+ "learning_rate": 1.9141130181296192e-05,
266
+ "loss": 1.3624,
267
+ "step": 860
268
+ },
269
+ {
270
+ "epoch": 0.16,
271
+ "learning_rate": 1.9091903913584117e-05,
272
+ "loss": 1.3527,
273
+ "step": 880
274
+ },
275
+ {
276
+ "epoch": 0.17,
277
+ "learning_rate": 1.9041372922640708e-05,
278
+ "loss": 1.3579,
279
+ "step": 900
280
+ },
281
+ {
282
+ "epoch": 0.17,
283
+ "learning_rate": 1.8989544459857798e-05,
284
+ "loss": 1.3553,
285
+ "step": 920
286
+ },
287
+ {
288
+ "epoch": 0.17,
289
+ "learning_rate": 1.893642596281943e-05,
290
+ "loss": 1.3467,
291
+ "step": 940
292
+ },
293
+ {
294
+ "epoch": 0.18,
295
+ "learning_rate": 1.8882025054234518e-05,
296
+ "loss": 1.365,
297
+ "step": 960
298
+ },
299
+ {
300
+ "epoch": 0.18,
301
+ "learning_rate": 1.8826349540842992e-05,
302
+ "loss": 1.3452,
303
+ "step": 980
304
+ },
305
+ {
306
+ "epoch": 0.18,
307
+ "learning_rate": 1.8769407412295465e-05,
308
+ "loss": 1.3342,
309
+ "step": 1000
310
+ },
311
+ {
312
+ "epoch": 0.19,
313
+ "learning_rate": 1.871120684000672e-05,
314
+ "loss": 1.3463,
315
+ "step": 1020
316
+ },
317
+ {
318
+ "epoch": 0.19,
319
+ "learning_rate": 1.8651756175983044e-05,
320
+ "loss": 1.3358,
321
+ "step": 1040
322
+ },
323
+ {
324
+ "epoch": 0.2,
325
+ "learning_rate": 1.859106395162372e-05,
326
+ "loss": 1.331,
327
+ "step": 1060
328
+ },
329
+ {
330
+ "epoch": 0.2,
331
+ "learning_rate": 1.852913887649671e-05,
332
+ "loss": 1.3252,
333
+ "step": 1080
334
+ },
335
+ {
336
+ "epoch": 0.2,
337
+ "learning_rate": 1.8465989837088817e-05,
338
+ "loss": 1.3223,
339
+ "step": 1100
340
+ },
341
+ {
342
+ "epoch": 0.21,
343
+ "learning_rate": 1.8401625895530434e-05,
344
+ "loss": 1.3139,
345
+ "step": 1120
346
+ },
347
+ {
348
+ "epoch": 0.21,
349
+ "learning_rate": 1.8336056288295085e-05,
350
+ "loss": 1.3319,
351
+ "step": 1140
352
+ },
353
+ {
354
+ "epoch": 0.21,
355
+ "learning_rate": 1.8269290424873963e-05,
356
+ "loss": 1.3289,
357
+ "step": 1160
358
+ },
359
+ {
360
+ "epoch": 0.22,
361
+ "learning_rate": 1.820133788642564e-05,
362
+ "loss": 1.3295,
363
+ "step": 1180
364
+ },
365
+ {
366
+ "epoch": 0.22,
367
+ "learning_rate": 1.8132208424401116e-05,
368
+ "loss": 1.3288,
369
+ "step": 1200
370
+ },
371
+ {
372
+ "epoch": 0.23,
373
+ "learning_rate": 1.8061911959144457e-05,
374
+ "loss": 1.3214,
375
+ "step": 1220
376
+ },
377
+ {
378
+ "epoch": 0.23,
379
+ "learning_rate": 1.79904585784692e-05,
380
+ "loss": 1.317,
381
+ "step": 1240
382
+ },
383
+ {
384
+ "epoch": 0.23,
385
+ "learning_rate": 1.791785853621069e-05,
386
+ "loss": 1.3261,
387
+ "step": 1260
388
+ },
389
+ {
390
+ "epoch": 0.24,
391
+ "learning_rate": 1.7844122250754625e-05,
392
+ "loss": 1.3129,
393
+ "step": 1280
394
+ },
395
+ {
396
+ "epoch": 0.24,
397
+ "learning_rate": 1.7769260303541985e-05,
398
+ "loss": 1.2986,
399
+ "step": 1300
400
+ },
401
+ {
402
+ "epoch": 0.24,
403
+ "learning_rate": 1.769328343755054e-05,
404
+ "loss": 1.3116,
405
+ "step": 1320
406
+ },
407
+ {
408
+ "epoch": 0.25,
409
+ "learning_rate": 1.7616202555753212e-05,
410
+ "loss": 1.3113,
411
+ "step": 1340
412
+ },
413
+ {
414
+ "epoch": 0.25,
415
+ "learning_rate": 1.7538028719553425e-05,
416
+ "loss": 1.3028,
417
+ "step": 1360
418
+ },
419
+ {
420
+ "epoch": 0.26,
421
+ "learning_rate": 1.7458773147197788e-05,
422
+ "loss": 1.3102,
423
+ "step": 1380
424
+ },
425
+ {
426
+ "epoch": 0.26,
427
+ "learning_rate": 1.73784472121662e-05,
428
+ "loss": 1.3053,
429
+ "step": 1400
430
+ },
431
+ {
432
+ "epoch": 0.26,
433
+ "learning_rate": 1.729706244153974e-05,
434
+ "loss": 1.3086,
435
+ "step": 1420
436
+ },
437
+ {
438
+ "epoch": 0.27,
439
+ "learning_rate": 1.721463051434646e-05,
440
+ "loss": 1.2989,
441
+ "step": 1440
442
+ },
443
+ {
444
+ "epoch": 0.27,
445
+ "learning_rate": 1.7131163259885424e-05,
446
+ "loss": 1.2857,
447
+ "step": 1460
448
+ },
449
+ {
450
+ "epoch": 0.27,
451
+ "learning_rate": 1.7046672656029143e-05,
452
+ "loss": 1.2999,
453
+ "step": 1480
454
+ },
455
+ {
456
+ "epoch": 0.28,
457
+ "learning_rate": 1.6961170827504698e-05,
458
+ "loss": 1.2916,
459
+ "step": 1500
460
+ },
461
+ {
462
+ "epoch": 0.28,
463
+ "learning_rate": 1.6874670044153826e-05,
464
+ "loss": 1.2824,
465
+ "step": 1520
466
+ },
467
+ {
468
+ "epoch": 0.28,
469
+ "learning_rate": 1.678718271917211e-05,
470
+ "loss": 1.3138,
471
+ "step": 1540
472
+ },
473
+ {
474
+ "epoch": 0.29,
475
+ "learning_rate": 1.6698721407327666e-05,
476
+ "loss": 1.2841,
477
+ "step": 1560
478
+ },
479
+ {
480
+ "epoch": 0.29,
481
+ "learning_rate": 1.6609298803159478e-05,
482
+ "loss": 1.2949,
483
+ "step": 1580
484
+ },
485
+ {
486
+ "epoch": 0.3,
487
+ "learning_rate": 1.651892773915567e-05,
488
+ "loss": 1.2945,
489
+ "step": 1600
490
+ },
491
+ {
492
+ "epoch": 0.3,
493
+ "learning_rate": 1.6427621183912018e-05,
494
+ "loss": 1.3093,
495
+ "step": 1620
496
+ },
497
+ {
498
+ "epoch": 0.3,
499
+ "learning_rate": 1.6335392240270888e-05,
500
+ "loss": 1.284,
501
+ "step": 1640
502
+ },
503
+ {
504
+ "epoch": 0.31,
505
+ "learning_rate": 1.6242254143440936e-05,
506
+ "loss": 1.288,
507
+ "step": 1660
508
+ },
509
+ {
510
+ "epoch": 0.31,
511
+ "learning_rate": 1.6148220259097804e-05,
512
+ "loss": 1.2787,
513
+ "step": 1680
514
+ },
515
+ {
516
+ "epoch": 0.31,
517
+ "learning_rate": 1.6053304081466086e-05,
518
+ "loss": 1.2926,
519
+ "step": 1700
520
+ },
521
+ {
522
+ "epoch": 0.32,
523
+ "learning_rate": 1.5957519231382868e-05,
524
+ "loss": 1.2766,
525
+ "step": 1720
526
+ },
527
+ {
528
+ "epoch": 0.32,
529
+ "learning_rate": 1.5860879454343074e-05,
530
+ "loss": 1.281,
531
+ "step": 1740
532
+ },
533
+ {
534
+ "epoch": 0.33,
535
+ "learning_rate": 1.576339861852694e-05,
536
+ "loss": 1.2734,
537
+ "step": 1760
538
+ },
539
+ {
540
+ "epoch": 0.33,
541
+ "learning_rate": 1.5665090712809887e-05,
542
+ "loss": 1.2747,
543
+ "step": 1780
544
+ },
545
+ {
546
+ "epoch": 0.33,
547
+ "learning_rate": 1.5565969844755033e-05,
548
+ "loss": 1.2716,
549
+ "step": 1800
550
+ },
551
+ {
552
+ "epoch": 0.34,
553
+ "learning_rate": 1.5466050238588738e-05,
554
+ "loss": 1.2757,
555
+ "step": 1820
556
+ },
557
+ {
558
+ "epoch": 0.34,
559
+ "learning_rate": 1.5365346233159343e-05,
560
+ "loss": 1.273,
561
+ "step": 1840
562
+ },
563
+ {
564
+ "epoch": 0.34,
565
+ "learning_rate": 1.5263872279879528e-05,
566
+ "loss": 1.2667,
567
+ "step": 1860
568
+ },
569
+ {
570
+ "epoch": 0.35,
571
+ "learning_rate": 1.5161642940652428e-05,
572
+ "loss": 1.2663,
573
+ "step": 1880
574
+ },
575
+ {
576
+ "epoch": 0.35,
577
+ "learning_rate": 1.5058672885781993e-05,
578
+ "loss": 1.2681,
579
+ "step": 1900
580
+ },
581
+ {
582
+ "epoch": 0.35,
583
+ "learning_rate": 1.4954976891867705e-05,
584
+ "loss": 1.2667,
585
+ "step": 1920
586
+ },
587
+ {
588
+ "epoch": 0.36,
589
+ "learning_rate": 1.4850569839684108e-05,
590
+ "loss": 1.2885,
591
+ "step": 1940
592
+ },
593
+ {
594
+ "epoch": 0.36,
595
+ "learning_rate": 1.4745466712045335e-05,
596
+ "loss": 1.2759,
597
+ "step": 1960
598
+ },
599
+ {
600
+ "epoch": 0.37,
601
+ "learning_rate": 1.4639682591655035e-05,
602
+ "loss": 1.2712,
603
+ "step": 1980
604
+ },
605
+ {
606
+ "epoch": 0.37,
607
+ "learning_rate": 1.4533232658941938e-05,
608
+ "loss": 1.2746,
609
+ "step": 2000
610
+ },
611
+ {
612
+ "epoch": 0.37,
613
+ "learning_rate": 1.4426132189881409e-05,
614
+ "loss": 1.2712,
615
+ "step": 2020
616
+ },
617
+ {
618
+ "epoch": 0.38,
619
+ "learning_rate": 1.4318396553803279e-05,
620
+ "loss": 1.2749,
621
+ "step": 2040
622
+ },
623
+ {
624
+ "epoch": 0.38,
625
+ "learning_rate": 1.4210041211186295e-05,
626
+ "loss": 1.2711,
627
+ "step": 2060
628
+ },
629
+ {
630
+ "epoch": 0.38,
631
+ "learning_rate": 1.4101081711439484e-05,
632
+ "loss": 1.2544,
633
+ "step": 2080
634
+ },
635
+ {
636
+ "epoch": 0.39,
637
+ "learning_rate": 1.399153369067074e-05,
638
+ "loss": 1.2696,
639
+ "step": 2100
640
+ },
641
+ {
642
+ "epoch": 0.39,
643
+ "learning_rate": 1.3881412869443001e-05,
644
+ "loss": 1.2654,
645
+ "step": 2120
646
+ },
647
+ {
648
+ "epoch": 0.4,
649
+ "learning_rate": 1.3770735050518262e-05,
650
+ "loss": 1.2495,
651
+ "step": 2140
652
+ },
653
+ {
654
+ "epoch": 0.4,
655
+ "learning_rate": 1.3659516116589852e-05,
656
+ "loss": 1.2573,
657
+ "step": 2160
658
+ },
659
+ {
660
+ "epoch": 0.4,
661
+ "learning_rate": 1.354777202800317e-05,
662
+ "loss": 1.2604,
663
+ "step": 2180
664
+ },
665
+ {
666
+ "epoch": 0.41,
667
+ "learning_rate": 1.3435518820465343e-05,
668
+ "loss": 1.2489,
669
+ "step": 2200
670
+ },
671
+ {
672
+ "epoch": 0.41,
673
+ "learning_rate": 1.3322772602744018e-05,
674
+ "loss": 1.2566,
675
+ "step": 2220
676
+ },
677
+ {
678
+ "epoch": 0.41,
679
+ "learning_rate": 1.3209549554355717e-05,
680
+ "loss": 1.2648,
681
+ "step": 2240
682
+ },
683
+ {
684
+ "epoch": 0.42,
685
+ "learning_rate": 1.309586592324398e-05,
686
+ "loss": 1.2533,
687
+ "step": 2260
688
+ },
689
+ {
690
+ "epoch": 0.42,
691
+ "learning_rate": 1.2981738023447761e-05,
692
+ "loss": 1.2448,
693
+ "step": 2280
694
+ },
695
+ {
696
+ "epoch": 0.43,
697
+ "learning_rate": 1.2867182232760266e-05,
698
+ "loss": 1.2558,
699
+ "step": 2300
700
+ },
701
+ {
702
+ "epoch": 0.43,
703
+ "learning_rate": 1.275221499037871e-05,
704
+ "loss": 1.2529,
705
+ "step": 2320
706
+ },
707
+ {
708
+ "epoch": 0.43,
709
+ "learning_rate": 1.2636852794545185e-05,
710
+ "loss": 1.2503,
711
+ "step": 2340
712
+ },
713
+ {
714
+ "epoch": 0.44,
715
+ "learning_rate": 1.2521112200179148e-05,
716
+ "loss": 1.2617,
717
+ "step": 2360
718
+ },
719
+ {
720
+ "epoch": 0.44,
721
+ "learning_rate": 1.2405009816501694e-05,
722
+ "loss": 1.239,
723
+ "step": 2380
724
+ },
725
+ {
726
+ "epoch": 0.44,
727
+ "learning_rate": 1.2288562304652078e-05,
728
+ "loss": 1.2561,
729
+ "step": 2400
730
+ },
731
+ {
732
+ "epoch": 0.45,
733
+ "learning_rate": 1.2171786375296776e-05,
734
+ "loss": 1.2695,
735
+ "step": 2420
736
+ },
737
+ {
738
+ "epoch": 0.45,
739
+ "learning_rate": 1.205469878623144e-05,
740
+ "loss": 1.2479,
741
+ "step": 2440
742
+ },
743
+ {
744
+ "epoch": 0.45,
745
+ "learning_rate": 1.1937316339976098e-05,
746
+ "loss": 1.2493,
747
+ "step": 2460
748
+ },
749
+ {
750
+ "epoch": 0.46,
751
+ "learning_rate": 1.1819655881363907e-05,
752
+ "loss": 1.2428,
753
+ "step": 2480
754
+ },
755
+ {
756
+ "epoch": 0.46,
757
+ "learning_rate": 1.1701734295123888e-05,
758
+ "loss": 1.2476,
759
+ "step": 2500
760
+ },
761
+ {
762
+ "epoch": 0.47,
763
+ "learning_rate": 1.158356850345786e-05,
764
+ "loss": 1.2372,
765
+ "step": 2520
766
+ },
767
+ {
768
+ "epoch": 0.47,
769
+ "learning_rate": 1.1465175463612079e-05,
770
+ "loss": 1.2382,
771
+ "step": 2540
772
+ },
773
+ {
774
+ "epoch": 0.47,
775
+ "learning_rate": 1.134657216544378e-05,
776
+ "loss": 1.2491,
777
+ "step": 2560
778
+ },
779
+ {
780
+ "epoch": 0.48,
781
+ "learning_rate": 1.1227775628983085e-05,
782
+ "loss": 1.2229,
783
+ "step": 2580
784
+ },
785
+ {
786
+ "epoch": 0.48,
787
+ "learning_rate": 1.110880290199054e-05,
788
+ "loss": 1.218,
789
+ "step": 2600
790
+ },
791
+ {
792
+ "epoch": 0.48,
793
+ "learning_rate": 1.0989671057510732e-05,
794
+ "loss": 1.2533,
795
+ "step": 2620
796
+ },
797
+ {
798
+ "epoch": 0.49,
799
+ "learning_rate": 1.0870397191422208e-05,
800
+ "loss": 1.2424,
801
+ "step": 2640
802
+ },
803
+ {
804
+ "epoch": 0.49,
805
+ "learning_rate": 1.075099841998416e-05,
806
+ "loss": 1.2491,
807
+ "step": 2660
808
+ },
809
+ {
810
+ "epoch": 0.5,
811
+ "learning_rate": 1.063149187738019e-05,
812
+ "loss": 1.2375,
813
+ "step": 2680
814
+ },
815
+ {
816
+ "epoch": 0.5,
817
+ "learning_rate": 1.0511894713259462e-05,
818
+ "loss": 1.2402,
819
+ "step": 2700
820
+ },
821
+ {
822
+ "epoch": 0.5,
823
+ "learning_rate": 1.0392224090275698e-05,
824
+ "loss": 1.2331,
825
+ "step": 2720
826
+ },
827
+ {
828
+ "epoch": 0.51,
829
+ "learning_rate": 1.0272497181624225e-05,
830
+ "loss": 1.233,
831
+ "step": 2740
832
+ },
833
+ {
834
+ "epoch": 0.51,
835
+ "learning_rate": 1.0152731168577603e-05,
836
+ "loss": 1.2545,
837
+ "step": 2760
838
+ },
839
+ {
840
+ "epoch": 0.51,
841
+ "learning_rate": 1.0032943238020003e-05,
842
+ "loss": 1.2387,
843
+ "step": 2780
844
+ },
845
+ {
846
+ "epoch": 0.52,
847
+ "learning_rate": 9.91315057998086e-06,
848
+ "loss": 1.233,
849
+ "step": 2800
850
+ },
851
+ {
852
+ "epoch": 0.52,
853
+ "learning_rate": 9.793370385168012e-06,
854
+ "loss": 1.2289,
855
+ "step": 2820
856
+ },
857
+ {
858
+ "epoch": 0.53,
859
+ "learning_rate": 9.673619842500781e-06,
860
+ "loss": 1.2291,
861
+ "step": 2840
862
+ },
863
+ {
864
+ "epoch": 0.53,
865
+ "learning_rate": 9.553916136643283e-06,
866
+ "loss": 1.2206,
867
+ "step": 2860
868
+ },
869
+ {
870
+ "epoch": 0.53,
871
+ "learning_rate": 9.434276445538378e-06,
872
+ "loss": 1.23,
873
+ "step": 2880
874
+ },
875
+ {
876
+ "epoch": 0.54,
877
+ "learning_rate": 9.314717937942565e-06,
878
+ "loss": 1.2371,
879
+ "step": 2900
880
+ },
881
+ {
882
+ "epoch": 0.54,
883
+ "learning_rate": 9.195257770962194e-06,
884
+ "loss": 1.2334,
885
+ "step": 2920
886
+ },
887
+ {
888
+ "epoch": 0.54,
889
+ "learning_rate": 9.075913087591355e-06,
890
+ "loss": 1.2284,
891
+ "step": 2940
892
+ },
893
+ {
894
+ "epoch": 0.55,
895
+ "learning_rate": 8.956701014251793e-06,
896
+ "loss": 1.2271,
897
+ "step": 2960
898
+ },
899
+ {
900
+ "epoch": 0.55,
901
+ "learning_rate": 8.837638658335217e-06,
902
+ "loss": 1.2242,
903
+ "step": 2980
904
+ },
905
+ {
906
+ "epoch": 0.55,
907
+ "learning_rate": 8.718743105748294e-06,
908
+ "loss": 1.2268,
909
+ "step": 3000
910
+ },
911
+ {
912
+ "epoch": 0.56,
913
+ "learning_rate": 8.600031418460777e-06,
914
+ "loss": 1.2266,
915
+ "step": 3020
916
+ },
917
+ {
918
+ "epoch": 0.56,
919
+ "learning_rate": 8.481520632057034e-06,
920
+ "loss": 1.2224,
921
+ "step": 3040
922
+ },
923
+ {
924
+ "epoch": 0.57,
925
+ "learning_rate": 8.363227753291398e-06,
926
+ "loss": 1.2249,
927
+ "step": 3060
928
+ },
929
+ {
930
+ "epoch": 0.57,
931
+ "learning_rate": 8.2451697576476e-06,
932
+ "loss": 1.2086,
933
+ "step": 3080
934
+ },
935
+ {
936
+ "epoch": 0.57,
937
+ "learning_rate": 8.127363586902748e-06,
938
+ "loss": 1.2295,
939
+ "step": 3100
940
+ },
941
+ {
942
+ "epoch": 0.58,
943
+ "learning_rate": 8.0098261466961e-06,
944
+ "loss": 1.2267,
945
+ "step": 3120
946
+ },
947
+ {
948
+ "epoch": 0.58,
949
+ "learning_rate": 7.89257430410305e-06,
950
+ "loss": 1.2231,
951
+ "step": 3140
952
+ },
953
+ {
954
+ "epoch": 0.58,
955
+ "learning_rate": 7.775624885214637e-06,
956
+ "loss": 1.2123,
957
+ "step": 3160
958
+ },
959
+ {
960
+ "epoch": 0.59,
961
+ "learning_rate": 7.658994672722934e-06,
962
+ "loss": 1.2216,
963
+ "step": 3180
964
+ },
965
+ {
966
+ "epoch": 0.59,
967
+ "learning_rate": 7.5427004035126604e-06,
968
+ "loss": 1.2156,
969
+ "step": 3200
970
+ },
971
+ {
972
+ "epoch": 0.6,
973
+ "learning_rate": 7.426758766259381e-06,
974
+ "loss": 1.2215,
975
+ "step": 3220
976
+ },
977
+ {
978
+ "epoch": 0.6,
979
+ "learning_rate": 7.3111863990346274e-06,
980
+ "loss": 1.2196,
981
+ "step": 3240
982
+ },
983
+ {
984
+ "epoch": 0.6,
985
+ "learning_rate": 7.19599988691825e-06,
986
+ "loss": 1.2167,
987
+ "step": 3260
988
+ },
989
+ {
990
+ "epoch": 0.61,
991
+ "learning_rate": 7.081215759618404e-06,
992
+ "loss": 1.2195,
993
+ "step": 3280
994
+ },
995
+ {
996
+ "epoch": 0.61,
997
+ "learning_rate": 6.966850489099475e-06,
998
+ "loss": 1.2062,
999
+ "step": 3300
1000
+ },
1001
+ {
1002
+ "epoch": 0.61,
1003
+ "learning_rate": 6.852920487218295e-06,
1004
+ "loss": 1.2151,
1005
+ "step": 3320
1006
+ },
1007
+ {
1008
+ "epoch": 0.62,
1009
+ "learning_rate": 6.739442103368962e-06,
1010
+ "loss": 1.2096,
1011
+ "step": 3340
1012
+ },
1013
+ {
1014
+ "epoch": 0.62,
1015
+ "learning_rate": 6.626431622136646e-06,
1016
+ "loss": 1.2101,
1017
+ "step": 3360
1018
+ },
1019
+ {
1020
+ "epoch": 0.62,
1021
+ "learning_rate": 6.513905260960691e-06,
1022
+ "loss": 1.217,
1023
+ "step": 3380
1024
+ },
1025
+ {
1026
+ "epoch": 0.63,
1027
+ "learning_rate": 6.4018791678073545e-06,
1028
+ "loss": 1.2227,
1029
+ "step": 3400
1030
+ },
1031
+ {
1032
+ "epoch": 0.63,
1033
+ "learning_rate": 6.290369418852498e-06,
1034
+ "loss": 1.2091,
1035
+ "step": 3420
1036
+ },
1037
+ {
1038
+ "epoch": 0.64,
1039
+ "learning_rate": 6.179392016174603e-06,
1040
+ "loss": 1.2129,
1041
+ "step": 3440
1042
+ },
1043
+ {
1044
+ "epoch": 0.64,
1045
+ "learning_rate": 6.0689628854584115e-06,
1046
+ "loss": 1.2206,
1047
+ "step": 3460
1048
+ },
1049
+ {
1050
+ "epoch": 0.64,
1051
+ "learning_rate": 5.959097873709522e-06,
1052
+ "loss": 1.2119,
1053
+ "step": 3480
1054
+ },
1055
+ {
1056
+ "epoch": 0.65,
1057
+ "learning_rate": 5.8498127469803015e-06,
1058
+ "loss": 1.214,
1059
+ "step": 3500
1060
+ },
1061
+ {
1062
+ "epoch": 0.65,
1063
+ "learning_rate": 5.741123188107371e-06,
1064
+ "loss": 1.2106,
1065
+ "step": 3520
1066
+ },
1067
+ {
1068
+ "epoch": 0.65,
1069
+ "learning_rate": 5.633044794461071e-06,
1070
+ "loss": 1.2186,
1071
+ "step": 3540
1072
+ },
1073
+ {
1074
+ "epoch": 0.66,
1075
+ "learning_rate": 5.525593075707184e-06,
1076
+ "loss": 1.2018,
1077
+ "step": 3560
1078
+ },
1079
+ {
1080
+ "epoch": 0.66,
1081
+ "learning_rate": 5.418783451581226e-06,
1082
+ "loss": 1.2093,
1083
+ "step": 3580
1084
+ },
1085
+ {
1086
+ "epoch": 0.67,
1087
+ "learning_rate": 5.312631249675668e-06,
1088
+ "loss": 1.201,
1089
+ "step": 3600
1090
+ },
1091
+ {
1092
+ "epoch": 0.67,
1093
+ "learning_rate": 5.207151703240349e-06,
1094
+ "loss": 1.1973,
1095
+ "step": 3620
1096
+ },
1097
+ {
1098
+ "epoch": 0.67,
1099
+ "learning_rate": 5.102359948996464e-06,
1100
+ "loss": 1.1953,
1101
+ "step": 3640
1102
+ },
1103
+ {
1104
+ "epoch": 0.68,
1105
+ "learning_rate": 4.998271024964381e-06,
1106
+ "loss": 1.1997,
1107
+ "step": 3660
1108
+ },
1109
+ {
1110
+ "epoch": 0.68,
1111
+ "learning_rate": 4.894899868305625e-06,
1112
+ "loss": 1.2124,
1113
+ "step": 3680
1114
+ },
1115
+ {
1116
+ "epoch": 0.68,
1117
+ "learning_rate": 4.792261313179331e-06,
1118
+ "loss": 1.2027,
1119
+ "step": 3700
1120
+ },
1121
+ {
1122
+ "epoch": 0.69,
1123
+ "learning_rate": 4.690370088613498e-06,
1124
+ "loss": 1.2081,
1125
+ "step": 3720
1126
+ },
1127
+ {
1128
+ "epoch": 0.69,
1129
+ "learning_rate": 4.589240816391314e-06,
1130
+ "loss": 1.2003,
1131
+ "step": 3740
1132
+ },
1133
+ {
1134
+ "epoch": 0.7,
1135
+ "learning_rate": 4.488888008952871e-06,
1136
+ "loss": 1.1984,
1137
+ "step": 3760
1138
+ },
1139
+ {
1140
+ "epoch": 0.7,
1141
+ "learning_rate": 4.3893260673125605e-06,
1142
+ "loss": 1.2067,
1143
+ "step": 3780
1144
+ },
1145
+ {
1146
+ "epoch": 0.7,
1147
+ "learning_rate": 4.290569278992505e-06,
1148
+ "loss": 1.2035,
1149
+ "step": 3800
1150
+ },
1151
+ {
1152
+ "epoch": 0.71,
1153
+ "learning_rate": 4.192631815972201e-06,
1154
+ "loss": 1.1964,
1155
+ "step": 3820
1156
+ },
1157
+ {
1158
+ "epoch": 0.71,
1159
+ "learning_rate": 4.095527732654841e-06,
1160
+ "loss": 1.2172,
1161
+ "step": 3840
1162
+ },
1163
+ {
1164
+ "epoch": 0.71,
1165
+ "learning_rate": 3.999270963850389e-06,
1166
+ "loss": 1.2078,
1167
+ "step": 3860
1168
+ },
1169
+ {
1170
+ "epoch": 0.72,
1171
+ "learning_rate": 3.903875322775932e-06,
1172
+ "loss": 1.2017,
1173
+ "step": 3880
1174
+ },
1175
+ {
1176
+ "epoch": 0.72,
1177
+ "learning_rate": 3.8093544990733943e-06,
1178
+ "loss": 1.2046,
1179
+ "step": 3900
1180
+ },
1181
+ {
1182
+ "epoch": 0.72,
1183
+ "learning_rate": 3.7157220568450613e-06,
1184
+ "loss": 1.21,
1185
+ "step": 3920
1186
+ },
1187
+ {
1188
+ "epoch": 0.73,
1189
+ "learning_rate": 3.6229914327070317e-06,
1190
+ "loss": 1.1955,
1191
+ "step": 3940
1192
+ },
1193
+ {
1194
+ "epoch": 0.73,
1195
+ "learning_rate": 3.531175933861051e-06,
1196
+ "loss": 1.1841,
1197
+ "step": 3960
1198
+ },
1199
+ {
1200
+ "epoch": 0.74,
1201
+ "learning_rate": 3.4402887361848435e-06,
1202
+ "loss": 1.1971,
1203
+ "step": 3980
1204
+ },
1205
+ {
1206
+ "epoch": 0.74,
1207
+ "learning_rate": 3.3503428823413643e-06,
1208
+ "loss": 1.191,
1209
+ "step": 4000
1210
+ },
1211
+ {
1212
+ "epoch": 0.74,
1213
+ "learning_rate": 3.261351279907078e-06,
1214
+ "loss": 1.2104,
1215
+ "step": 4020
1216
+ },
1217
+ {
1218
+ "epoch": 0.75,
1219
+ "learning_rate": 3.173326699519714e-06,
1220
+ "loss": 1.1835,
1221
+ "step": 4040
1222
+ },
1223
+ {
1224
+ "epoch": 0.75,
1225
+ "learning_rate": 3.0862817730455986e-06,
1226
+ "loss": 1.1964,
1227
+ "step": 4060
1228
+ },
1229
+ {
1230
+ "epoch": 0.75,
1231
+ "learning_rate": 3.000228991766967e-06,
1232
+ "loss": 1.2008,
1233
+ "step": 4080
1234
+ },
1235
+ {
1236
+ "epoch": 0.76,
1237
+ "learning_rate": 2.9151807045893765e-06,
1238
+ "loss": 1.2,
1239
+ "step": 4100
1240
+ },
1241
+ {
1242
+ "epoch": 0.76,
1243
+ "learning_rate": 2.8311491162696302e-06,
1244
+ "loss": 1.1789,
1245
+ "step": 4120
1246
+ },
1247
+ {
1248
+ "epoch": 0.77,
1249
+ "learning_rate": 2.7481462856643128e-06,
1250
+ "loss": 1.1906,
1251
+ "step": 4140
1252
+ },
1253
+ {
1254
+ "epoch": 0.77,
1255
+ "learning_rate": 2.6661841239993245e-06,
1256
+ "loss": 1.1959,
1257
+ "step": 4160
1258
+ },
1259
+ {
1260
+ "epoch": 0.77,
1261
+ "learning_rate": 2.585274393160565e-06,
1262
+ "loss": 1.1973,
1263
+ "step": 4180
1264
+ },
1265
+ {
1266
+ "epoch": 0.78,
1267
+ "learning_rate": 2.5054287040060543e-06,
1268
+ "loss": 1.1906,
1269
+ "step": 4200
1270
+ },
1271
+ {
1272
+ "epoch": 0.78,
1273
+ "learning_rate": 2.4266585146997255e-06,
1274
+ "loss": 1.1884,
1275
+ "step": 4220
1276
+ },
1277
+ {
1278
+ "epoch": 0.78,
1279
+ "learning_rate": 2.3489751290671513e-06,
1280
+ "loss": 1.1874,
1281
+ "step": 4240
1282
+ },
1283
+ {
1284
+ "epoch": 0.79,
1285
+ "learning_rate": 2.272389694973386e-06,
1286
+ "loss": 1.1904,
1287
+ "step": 4260
1288
+ },
1289
+ {
1290
+ "epoch": 0.79,
1291
+ "learning_rate": 2.196913202723211e-06,
1292
+ "loss": 1.1858,
1293
+ "step": 4280
1294
+ },
1295
+ {
1296
+ "epoch": 0.8,
1297
+ "learning_rate": 2.122556483483982e-06,
1298
+ "loss": 1.2015,
1299
+ "step": 4300
1300
+ },
1301
+ {
1302
+ "epoch": 0.8,
1303
+ "learning_rate": 2.049330207731309e-06,
1304
+ "loss": 1.2048,
1305
+ "step": 4320
1306
+ },
1307
+ {
1308
+ "epoch": 0.8,
1309
+ "learning_rate": 1.977244883717815e-06,
1310
+ "loss": 1.2035,
1311
+ "step": 4340
1312
+ },
1313
+ {
1314
+ "epoch": 0.81,
1315
+ "learning_rate": 1.9063108559651478e-06,
1316
+ "loss": 1.2008,
1317
+ "step": 4360
1318
+ },
1319
+ {
1320
+ "epoch": 0.81,
1321
+ "learning_rate": 1.836538303779516e-06,
1322
+ "loss": 1.1919,
1323
+ "step": 4380
1324
+ },
1325
+ {
1326
+ "epoch": 0.81,
1327
+ "learning_rate": 1.7679372397908966e-06,
1328
+ "loss": 1.1841,
1329
+ "step": 4400
1330
+ },
1331
+ {
1332
+ "epoch": 0.82,
1333
+ "learning_rate": 1.7005175085162107e-06,
1334
+ "loss": 1.1967,
1335
+ "step": 4420
1336
+ },
1337
+ {
1338
+ "epoch": 0.82,
1339
+ "learning_rate": 1.6342887849465794e-06,
1340
+ "loss": 1.197,
1341
+ "step": 4440
1342
+ },
1343
+ {
1344
+ "epoch": 0.82,
1345
+ "learning_rate": 1.5692605731589338e-06,
1346
+ "loss": 1.1981,
1347
+ "step": 4460
1348
+ },
1349
+ {
1350
+ "epoch": 0.83,
1351
+ "learning_rate": 1.5054422049521332e-06,
1352
+ "loss": 1.2042,
1353
+ "step": 4480
1354
+ },
1355
+ {
1356
+ "epoch": 0.83,
1357
+ "learning_rate": 1.4428428385078296e-06,
1358
+ "loss": 1.1903,
1359
+ "step": 4500
1360
+ },
1361
+ {
1362
+ "epoch": 0.84,
1363
+ "learning_rate": 1.3814714570762244e-06,
1364
+ "loss": 1.1929,
1365
+ "step": 4520
1366
+ },
1367
+ {
1368
+ "epoch": 0.84,
1369
+ "learning_rate": 1.3213368676869443e-06,
1370
+ "loss": 1.1981,
1371
+ "step": 4540
1372
+ },
1373
+ {
1374
+ "epoch": 0.84,
1375
+ "learning_rate": 1.2624476998851832e-06,
1376
+ "loss": 1.1972,
1377
+ "step": 4560
1378
+ },
1379
+ {
1380
+ "epoch": 0.85,
1381
+ "learning_rate": 1.2048124044933518e-06,
1382
+ "loss": 1.1924,
1383
+ "step": 4580
1384
+ },
1385
+ {
1386
+ "epoch": 0.85,
1387
+ "learning_rate": 1.1484392523983322e-06,
1388
+ "loss": 1.1877,
1389
+ "step": 4600
1390
+ },
1391
+ {
1392
+ "epoch": 0.85,
1393
+ "learning_rate": 1.0933363333645907e-06,
1394
+ "loss": 1.2004,
1395
+ "step": 4620
1396
+ },
1397
+ {
1398
+ "epoch": 0.86,
1399
+ "learning_rate": 1.0395115548732447e-06,
1400
+ "loss": 1.1868,
1401
+ "step": 4640
1402
+ },
1403
+ {
1404
+ "epoch": 0.86,
1405
+ "learning_rate": 9.869726409873316e-07,
1406
+ "loss": 1.194,
1407
+ "step": 4660
1408
+ },
1409
+ {
1410
+ "epoch": 0.87,
1411
+ "learning_rate": 9.35727131243358e-07,
1412
+ "loss": 1.189,
1413
+ "step": 4680
1414
+ },
1415
+ {
1416
+ "epoch": 0.87,
1417
+ "learning_rate": 8.857823795693621e-07,
1418
+ "loss": 1.1884,
1419
+ "step": 4700
1420
+ },
1421
+ {
1422
+ "epoch": 0.87,
1423
+ "learning_rate": 8.371455532295769e-07,
1424
+ "loss": 1.187,
1425
+ "step": 4720
1426
+ },
1427
+ {
1428
+ "epoch": 0.88,
1429
+ "learning_rate": 7.898236317959229e-07,
1430
+ "loss": 1.1926,
1431
+ "step": 4740
1432
+ },
1433
+ {
1434
+ "epoch": 0.88,
1435
+ "learning_rate": 7.438234061463967e-07,
1436
+ "loss": 1.1892,
1437
+ "step": 4760
1438
+ },
1439
+ {
1440
+ "epoch": 0.88,
1441
+ "learning_rate": 6.991514774905639e-07,
1442
+ "loss": 1.1846,
1443
+ "step": 4780
1444
+ },
1445
+ {
1446
+ "epoch": 0.89,
1447
+ "learning_rate": 6.55814256422247e-07,
1448
+ "loss": 1.1816,
1449
+ "step": 4800
1450
+ },
1451
+ {
1452
+ "epoch": 0.89,
1453
+ "learning_rate": 6.138179619995965e-07,
1454
+ "loss": 1.201,
1455
+ "step": 4820
1456
+ },
1457
+ {
1458
+ "epoch": 0.89,
1459
+ "learning_rate": 5.731686208526165e-07,
1460
+ "loss": 1.187,
1461
+ "step": 4840
1462
+ },
1463
+ {
1464
+ "epoch": 0.9,
1465
+ "learning_rate": 5.338720663183394e-07,
1466
+ "loss": 1.1868,
1467
+ "step": 4860
1468
+ },
1469
+ {
1470
+ "epoch": 0.9,
1471
+ "learning_rate": 4.959339376036976e-07,
1472
+ "loss": 1.1943,
1473
+ "step": 4880
1474
+ },
1475
+ {
1476
+ "epoch": 0.91,
1477
+ "learning_rate": 4.593596789762911e-07,
1478
+ "loss": 1.1988,
1479
+ "step": 4900
1480
+ },
1481
+ {
1482
+ "epoch": 0.91,
1483
+ "learning_rate": 4.2415453898310365e-07,
1484
+ "loss": 1.1907,
1485
+ "step": 4920
1486
+ },
1487
+ {
1488
+ "epoch": 0.91,
1489
+ "learning_rate": 3.903235696973329e-07,
1490
+ "loss": 1.1926,
1491
+ "step": 4940
1492
+ },
1493
+ {
1494
+ "epoch": 0.92,
1495
+ "learning_rate": 3.5787162599337343e-07,
1496
+ "loss": 1.1902,
1497
+ "step": 4960
1498
+ },
1499
+ {
1500
+ "epoch": 0.92,
1501
+ "learning_rate": 3.26803364850149e-07,
1502
+ "loss": 1.1949,
1503
+ "step": 4980
1504
+ },
1505
+ {
1506
+ "epoch": 0.92,
1507
+ "learning_rate": 2.971232446827943e-07,
1508
+ "loss": 1.2,
1509
+ "step": 5000
1510
+ },
1511
+ {
1512
+ "epoch": 0.93,
1513
+ "learning_rate": 2.6883552470287957e-07,
1514
+ "loss": 1.202,
1515
+ "step": 5020
1516
+ },
1517
+ {
1518
+ "epoch": 0.93,
1519
+ "learning_rate": 2.4194426430717567e-07,
1520
+ "loss": 1.1932,
1521
+ "step": 5040
1522
+ },
1523
+ {
1524
+ "epoch": 0.94,
1525
+ "learning_rate": 2.164533224951304e-07,
1526
+ "loss": 1.1928,
1527
+ "step": 5060
1528
+ },
1529
+ {
1530
+ "epoch": 0.94,
1531
+ "learning_rate": 1.923663573150747e-07,
1532
+ "loss": 1.1856,
1533
+ "step": 5080
1534
+ },
1535
+ {
1536
+ "epoch": 0.94,
1537
+ "learning_rate": 1.6968682533929358e-07,
1538
+ "loss": 1.1855,
1539
+ "step": 5100
1540
+ },
1541
+ {
1542
+ "epoch": 0.95,
1543
+ "learning_rate": 1.4841798116797758e-07,
1544
+ "loss": 1.1991,
1545
+ "step": 5120
1546
+ },
1547
+ {
1548
+ "epoch": 0.95,
1549
+ "learning_rate": 1.285628769621905e-07,
1550
+ "loss": 1.1817,
1551
+ "step": 5140
1552
+ },
1553
+ {
1554
+ "epoch": 0.95,
1555
+ "learning_rate": 1.1012436200586007e-07,
1556
+ "loss": 1.1917,
1557
+ "step": 5160
1558
+ },
1559
+ {
1560
+ "epoch": 0.96,
1561
+ "learning_rate": 9.310508229690374e-08,
1562
+ "loss": 1.185,
1563
+ "step": 5180
1564
+ },
1565
+ {
1566
+ "epoch": 0.96,
1567
+ "learning_rate": 7.750748016751575e-08,
1568
+ "loss": 1.1819,
1569
+ "step": 5200
1570
+ },
1571
+ {
1572
+ "epoch": 0.97,
1573
+ "learning_rate": 6.333379393367756e-08,
1574
+ "loss": 1.1931,
1575
+ "step": 5220
1576
+ },
1577
+ {
1578
+ "epoch": 0.97,
1579
+ "learning_rate": 5.058605757395807e-08,
1580
+ "loss": 1.1848,
1581
+ "step": 5240
1582
+ },
1583
+ {
1584
+ "epoch": 0.97,
1585
+ "learning_rate": 3.926610043762602e-08,
1586
+ "loss": 1.189,
1587
+ "step": 5260
1588
+ },
1589
+ {
1590
+ "epoch": 0.98,
1591
+ "learning_rate": 2.9375546982131075e-08,
1592
+ "loss": 1.1945,
1593
+ "step": 5280
1594
+ },
1595
+ {
1596
+ "epoch": 0.98,
1597
+ "learning_rate": 2.091581653999142e-08,
1598
+ "loss": 1.1959,
1599
+ "step": 5300
1600
+ },
1601
+ {
1602
+ "epoch": 0.98,
1603
+ "learning_rate": 1.3888123115110009e-08,
1604
+ "loss": 1.1986,
1605
+ "step": 5320
1606
+ },
1607
+ {
1608
+ "epoch": 0.99,
1609
+ "learning_rate": 8.29347520856172e-09,
1610
+ "loss": 1.1877,
1611
+ "step": 5340
1612
+ },
1613
+ {
1614
+ "epoch": 0.99,
1615
+ "learning_rate": 4.132675673870212e-09,
1616
+ "loss": 1.1981,
1617
+ "step": 5360
1618
+ },
1619
+ {
1620
+ "epoch": 0.99,
1621
+ "learning_rate": 1.4063216017956572e-09,
1622
+ "loss": 1.1844,
1623
+ "step": 5380
1624
+ },
1625
+ {
1626
+ "epoch": 1.0,
1627
+ "learning_rate": 1.1480423464882429e-10,
1628
+ "loss": 1.194,
1629
+ "step": 5400
1630
+ },
1631
+ {
1632
+ "epoch": 1.0,
1633
+ "step": 5408,
1634
+ "total_flos": 4.334944925142483e+18,
1635
+ "train_loss": 1.2657453445993232,
1636
+ "train_runtime": 25911.696,
1637
+ "train_samples_per_second": 26.717,
1638
+ "train_steps_per_second": 0.209
1639
+ }
1640
+ ],
1641
+ "logging_steps": 20,
1642
+ "max_steps": 5408,
1643
+ "num_input_tokens_seen": 0,
1644
+ "num_train_epochs": 1,
1645
+ "save_steps": 5000,
1646
+ "total_flos": 4.334944925142483e+18,
1647
+ "train_batch_size": 4,
1648
+ "trial_name": null,
1649
+ "trial_params": null
1650
+ }