Grogros commited on
Commit
d327db1
·
verified ·
1 Parent(s): 44a814b

Training in progress, step 4000, checkpoint

Browse files
checkpoint-4000/config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Olmo2ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "eos_token_id": 100257,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 2048,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 8192,
12
+ "max_position_embeddings": 4096,
13
+ "model_type": "olmo2",
14
+ "num_attention_heads": 16,
15
+ "num_hidden_layers": 16,
16
+ "num_key_value_heads": 16,
17
+ "pad_token_id": 100277,
18
+ "rms_norm_eps": 1e-06,
19
+ "rope_scaling": null,
20
+ "rope_theta": 500000,
21
+ "tie_word_embeddings": false,
22
+ "torch_dtype": "bfloat16",
23
+ "transformers_version": "4.51.3",
24
+ "use_cache": false,
25
+ "vocab_size": 100352
26
+ }
checkpoint-4000/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "eos_token_id": 100257,
4
+ "pad_token_id": 100277,
5
+ "transformers_version": "4.51.3"
6
+ }
checkpoint-4000/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ae621bf19fb228532a6c8eaecdfe812faad27d3a6087c9c96ef13474ab69b10
3
+ size 2969854224
checkpoint-4000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b9987718d83624557d1e042d6cfe55cf9937bbd9e2470ad3ff04ae64810bec36
3
+ size 4500154
checkpoint-4000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7584029aaf755b8e4f295fa193314240b48cdad27d8f3bfc1e7ac0fb8e8d02ef
3
+ size 14942
checkpoint-4000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:80e1fce10a735babf9f4952eeada7a13e0485757ef5f8b91359536833936c83d
3
+ size 1064
checkpoint-4000/trainer_state.json ADDED
@@ -0,0 +1,2834 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 4000,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.0025,
14
+ "grad_norm": 156.0,
15
+ "learning_rate": 4.5000000000000003e-07,
16
+ "loss": 15.8812,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.005,
21
+ "grad_norm": 106.5,
22
+ "learning_rate": 9.500000000000001e-07,
23
+ "loss": 15.2812,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.0075,
28
+ "grad_norm": 181.0,
29
+ "learning_rate": 1.45e-06,
30
+ "loss": 15.3875,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.01,
35
+ "grad_norm": 174.0,
36
+ "learning_rate": 1.9500000000000004e-06,
37
+ "loss": 15.4062,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.0125,
42
+ "grad_norm": 218.0,
43
+ "learning_rate": 2.4500000000000003e-06,
44
+ "loss": 16.0312,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.015,
49
+ "grad_norm": 178.0,
50
+ "learning_rate": 2.95e-06,
51
+ "loss": 15.35,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.0175,
56
+ "grad_norm": 171.0,
57
+ "learning_rate": 3.45e-06,
58
+ "loss": 15.2188,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.02,
63
+ "grad_norm": 220.0,
64
+ "learning_rate": 3.95e-06,
65
+ "loss": 15.4125,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.0225,
70
+ "grad_norm": 138.0,
71
+ "learning_rate": 4.450000000000001e-06,
72
+ "loss": 15.0563,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.025,
77
+ "grad_norm": 125.0,
78
+ "learning_rate": 4.95e-06,
79
+ "loss": 14.8938,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.0275,
84
+ "grad_norm": 126.5,
85
+ "learning_rate": 5.450000000000001e-06,
86
+ "loss": 14.475,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.03,
91
+ "grad_norm": 134.0,
92
+ "learning_rate": 5.950000000000001e-06,
93
+ "loss": 14.0312,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.0325,
98
+ "grad_norm": 127.5,
99
+ "learning_rate": 6.450000000000001e-06,
100
+ "loss": 13.7312,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.035,
105
+ "grad_norm": 138.0,
106
+ "learning_rate": 6.95e-06,
107
+ "loss": 13.5125,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.0375,
112
+ "grad_norm": 174.0,
113
+ "learning_rate": 7.450000000000001e-06,
114
+ "loss": 12.6125,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.04,
119
+ "grad_norm": 205.0,
120
+ "learning_rate": 7.950000000000002e-06,
121
+ "loss": 11.8187,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.0425,
126
+ "grad_norm": 175.0,
127
+ "learning_rate": 8.45e-06,
128
+ "loss": 11.0125,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.045,
133
+ "grad_norm": 180.0,
134
+ "learning_rate": 8.95e-06,
135
+ "loss": 9.9812,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.0475,
140
+ "grad_norm": 106.0,
141
+ "learning_rate": 9.450000000000001e-06,
142
+ "loss": 9.2812,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.05,
147
+ "grad_norm": 106.5,
148
+ "learning_rate": 9.950000000000001e-06,
149
+ "loss": 8.3938,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.0525,
154
+ "grad_norm": 96.0,
155
+ "learning_rate": 1.045e-05,
156
+ "loss": 7.7094,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.055,
161
+ "grad_norm": 100.5,
162
+ "learning_rate": 1.095e-05,
163
+ "loss": 7.1562,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.0575,
168
+ "grad_norm": 108.5,
169
+ "learning_rate": 1.145e-05,
170
+ "loss": 6.3125,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.06,
175
+ "grad_norm": 98.5,
176
+ "learning_rate": 1.195e-05,
177
+ "loss": 5.5938,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.0625,
182
+ "grad_norm": 97.5,
183
+ "learning_rate": 1.2450000000000003e-05,
184
+ "loss": 5.0406,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.065,
189
+ "grad_norm": 92.0,
190
+ "learning_rate": 1.295e-05,
191
+ "loss": 4.6641,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.0675,
196
+ "grad_norm": 87.5,
197
+ "learning_rate": 1.3450000000000002e-05,
198
+ "loss": 3.9469,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.07,
203
+ "grad_norm": 80.0,
204
+ "learning_rate": 1.3950000000000002e-05,
205
+ "loss": 3.2578,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.0725,
210
+ "grad_norm": 71.5,
211
+ "learning_rate": 1.4450000000000002e-05,
212
+ "loss": 2.475,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.075,
217
+ "grad_norm": 60.25,
218
+ "learning_rate": 1.4950000000000003e-05,
219
+ "loss": 2.1828,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.0775,
224
+ "grad_norm": 40.0,
225
+ "learning_rate": 1.545e-05,
226
+ "loss": 1.7547,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.08,
231
+ "grad_norm": 32.75,
232
+ "learning_rate": 1.595e-05,
233
+ "loss": 1.5266,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.0825,
238
+ "grad_norm": 14.9375,
239
+ "learning_rate": 1.645e-05,
240
+ "loss": 1.1621,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.085,
245
+ "grad_norm": 12.625,
246
+ "learning_rate": 1.6950000000000002e-05,
247
+ "loss": 1.1262,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.0875,
252
+ "grad_norm": 6.59375,
253
+ "learning_rate": 1.7450000000000004e-05,
254
+ "loss": 1.3047,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.09,
259
+ "grad_norm": 5.0,
260
+ "learning_rate": 1.795e-05,
261
+ "loss": 1.1195,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.0925,
266
+ "grad_norm": 4.78125,
267
+ "learning_rate": 1.845e-05,
268
+ "loss": 0.9902,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.095,
273
+ "grad_norm": 4.9375,
274
+ "learning_rate": 1.8950000000000003e-05,
275
+ "loss": 0.8932,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.0975,
280
+ "grad_norm": 3.859375,
281
+ "learning_rate": 1.9450000000000002e-05,
282
+ "loss": 0.9434,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.1,
287
+ "grad_norm": 5.875,
288
+ "learning_rate": 1.9950000000000004e-05,
289
+ "loss": 0.859,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.1025,
294
+ "grad_norm": 6.71875,
295
+ "learning_rate": 1.99996915764479e-05,
296
+ "loss": 0.9338,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.105,
301
+ "grad_norm": 2.96875,
302
+ "learning_rate": 1.9998625445384374e-05,
303
+ "loss": 0.8354,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.1075,
308
+ "grad_norm": 3.03125,
309
+ "learning_rate": 1.9996797880281935e-05,
310
+ "loss": 0.9184,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.11,
315
+ "grad_norm": 3.53125,
316
+ "learning_rate": 1.999420902031673e-05,
317
+ "loss": 0.9055,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.1125,
322
+ "grad_norm": 2.640625,
323
+ "learning_rate": 1.9990859062640478e-05,
324
+ "loss": 0.8426,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.115,
329
+ "grad_norm": 3.453125,
330
+ "learning_rate": 1.998674826236542e-05,
331
+ "loss": 0.8184,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.1175,
336
+ "grad_norm": 3.390625,
337
+ "learning_rate": 1.9981876932544918e-05,
338
+ "loss": 0.7809,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.12,
343
+ "grad_norm": 2.1875,
344
+ "learning_rate": 1.997624544414959e-05,
345
+ "loss": 0.733,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.1225,
350
+ "grad_norm": 3.515625,
351
+ "learning_rate": 1.9969854226039088e-05,
352
+ "loss": 0.6943,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.125,
357
+ "grad_norm": 6.15625,
358
+ "learning_rate": 1.9962703764929413e-05,
359
+ "loss": 0.7104,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.1275,
364
+ "grad_norm": 2.671875,
365
+ "learning_rate": 1.995479460535586e-05,
366
+ "loss": 0.7924,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.13,
371
+ "grad_norm": 7.125,
372
+ "learning_rate": 1.9946127349631564e-05,
373
+ "loss": 0.8195,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.1325,
378
+ "grad_norm": 3.65625,
379
+ "learning_rate": 1.9936702657801586e-05,
380
+ "loss": 0.6439,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.135,
385
+ "grad_norm": 6.875,
386
+ "learning_rate": 1.992652124759271e-05,
387
+ "loss": 0.8467,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.1375,
392
+ "grad_norm": 2.6875,
393
+ "learning_rate": 1.9915583894358744e-05,
394
+ "loss": 0.8398,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.14,
399
+ "grad_norm": 3.390625,
400
+ "learning_rate": 1.9903891431021477e-05,
401
+ "loss": 0.7451,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.1425,
406
+ "grad_norm": 2.625,
407
+ "learning_rate": 1.989144474800726e-05,
408
+ "loss": 0.5564,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.145,
413
+ "grad_norm": 2.359375,
414
+ "learning_rate": 1.9878244793179198e-05,
415
+ "loss": 0.6477,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.1475,
420
+ "grad_norm": 6.6875,
421
+ "learning_rate": 1.9864292571764956e-05,
422
+ "loss": 0.6457,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.15,
427
+ "grad_norm": 4.03125,
428
+ "learning_rate": 1.9849589146280212e-05,
429
+ "loss": 0.648,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.1525,
434
+ "grad_norm": 3.265625,
435
+ "learning_rate": 1.9834135636447745e-05,
436
+ "loss": 0.5932,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.155,
441
+ "grad_norm": 2.546875,
442
+ "learning_rate": 1.981793321911216e-05,
443
+ "loss": 0.6838,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.1575,
448
+ "grad_norm": 7.21875,
449
+ "learning_rate": 1.9800983128150263e-05,
450
+ "loss": 0.7277,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.16,
455
+ "grad_norm": 2.25,
456
+ "learning_rate": 1.978328665437711e-05,
457
+ "loss": 0.5895,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.1625,
462
+ "grad_norm": 2.3125,
463
+ "learning_rate": 1.9764845145447687e-05,
464
+ "loss": 0.5982,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.165,
469
+ "grad_norm": 2.5,
470
+ "learning_rate": 1.974566000575431e-05,
471
+ "loss": 0.5367,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.1675,
476
+ "grad_norm": 2.25,
477
+ "learning_rate": 1.9725732696319634e-05,
478
+ "loss": 0.6245,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.17,
483
+ "grad_norm": 1.59375,
484
+ "learning_rate": 1.9705064734685425e-05,
485
+ "loss": 0.5006,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.1725,
490
+ "grad_norm": 0.9609375,
491
+ "learning_rate": 1.9683657694796988e-05,
492
+ "loss": 0.5548,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.175,
497
+ "grad_norm": 3.78125,
498
+ "learning_rate": 1.9661513206883288e-05,
499
+ "loss": 0.5451,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.1775,
504
+ "grad_norm": 2.6875,
505
+ "learning_rate": 1.963863295733281e-05,
506
+ "loss": 0.518,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.18,
511
+ "grad_norm": 2.1875,
512
+ "learning_rate": 1.961501868856515e-05,
513
+ "loss": 0.509,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.1825,
518
+ "grad_norm": 2.40625,
519
+ "learning_rate": 1.9590672198898297e-05,
520
+ "loss": 0.5361,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.185,
525
+ "grad_norm": 2.234375,
526
+ "learning_rate": 1.95655953424117e-05,
527
+ "loss": 0.4965,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.1875,
532
+ "grad_norm": 4.53125,
533
+ "learning_rate": 1.953979002880507e-05,
534
+ "loss": 0.5505,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.19,
539
+ "grad_norm": 2.09375,
540
+ "learning_rate": 1.951325822325295e-05,
541
+ "loss": 0.4783,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.1925,
546
+ "grad_norm": 1.0234375,
547
+ "learning_rate": 1.9486001946255046e-05,
548
+ "loss": 0.452,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.195,
553
+ "grad_norm": 1.765625,
554
+ "learning_rate": 1.945802327348239e-05,
555
+ "loss": 0.4703,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.1975,
560
+ "grad_norm": 1.9375,
561
+ "learning_rate": 1.9429324335619234e-05,
562
+ "loss": 0.4996,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.2,
567
+ "grad_norm": 0.875,
568
+ "learning_rate": 1.93999073182008e-05,
569
+ "loss": 0.4553,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.2025,
574
+ "grad_norm": 1.2890625,
575
+ "learning_rate": 1.936977446144687e-05,
576
+ "loss": 0.4842,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.205,
581
+ "grad_norm": 1.03125,
582
+ "learning_rate": 1.9338928060091145e-05,
583
+ "loss": 0.4132,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.2075,
588
+ "grad_norm": 1.375,
589
+ "learning_rate": 1.9307370463206512e-05,
590
+ "loss": 0.459,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.21,
595
+ "grad_norm": 1.9609375,
596
+ "learning_rate": 1.9275104074026152e-05,
597
+ "loss": 0.4533,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.2125,
602
+ "grad_norm": 1.5859375,
603
+ "learning_rate": 1.9242131349760536e-05,
604
+ "loss": 0.4134,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.215,
609
+ "grad_norm": 1.25,
610
+ "learning_rate": 1.9208454801410267e-05,
611
+ "loss": 0.3762,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.2175,
616
+ "grad_norm": 1.7578125,
617
+ "learning_rate": 1.9174076993574883e-05,
618
+ "loss": 0.4325,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.22,
623
+ "grad_norm": 1.46875,
624
+ "learning_rate": 1.913900054425756e-05,
625
+ "loss": 0.4203,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.2225,
630
+ "grad_norm": 1.046875,
631
+ "learning_rate": 1.9103228124665713e-05,
632
+ "loss": 0.3394,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.225,
637
+ "grad_norm": 1.2109375,
638
+ "learning_rate": 1.906676245900759e-05,
639
+ "loss": 0.417,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.2275,
644
+ "grad_norm": 1.53125,
645
+ "learning_rate": 1.9029606324284814e-05,
646
+ "loss": 0.3961,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.23,
651
+ "grad_norm": 2.078125,
652
+ "learning_rate": 1.8991762550080905e-05,
653
+ "loss": 0.4698,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.2325,
658
+ "grad_norm": 1.8828125,
659
+ "learning_rate": 1.895323401834578e-05,
660
+ "loss": 0.3908,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.235,
665
+ "grad_norm": 1.0234375,
666
+ "learning_rate": 1.8914023663176306e-05,
667
+ "loss": 0.449,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.2375,
672
+ "grad_norm": 1.609375,
673
+ "learning_rate": 1.8874134470592836e-05,
674
+ "loss": 0.4523,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.24,
679
+ "grad_norm": 1.078125,
680
+ "learning_rate": 1.8833569478311818e-05,
681
+ "loss": 0.3848,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.2425,
686
+ "grad_norm": 1.2421875,
687
+ "learning_rate": 1.879233177551447e-05,
688
+ "loss": 0.412,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.245,
693
+ "grad_norm": 1.3125,
694
+ "learning_rate": 1.8750424502611528e-05,
695
+ "loss": 0.4363,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.2475,
700
+ "grad_norm": 1.5546875,
701
+ "learning_rate": 1.870785085100406e-05,
702
+ "loss": 0.4064,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.25,
707
+ "grad_norm": 1.0859375,
708
+ "learning_rate": 1.8664614062840472e-05,
709
+ "loss": 0.4113,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.2525,
714
+ "grad_norm": 45.5,
715
+ "learning_rate": 1.8620717430769586e-05,
716
+ "loss": 0.5559,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.255,
721
+ "grad_norm": 1.03125,
722
+ "learning_rate": 1.8576164297689877e-05,
723
+ "loss": 0.3405,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.2575,
728
+ "grad_norm": 1.375,
729
+ "learning_rate": 1.8530958056494934e-05,
730
+ "loss": 0.3953,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.26,
735
+ "grad_norm": 1.5,
736
+ "learning_rate": 1.8485102149815038e-05,
737
+ "loss": 0.4022,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.2625,
742
+ "grad_norm": 1.078125,
743
+ "learning_rate": 1.8438600069755027e-05,
744
+ "loss": 0.4464,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.265,
749
+ "grad_norm": 1.1953125,
750
+ "learning_rate": 1.8391455357628334e-05,
751
+ "loss": 0.4125,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.2675,
756
+ "grad_norm": 1.28125,
757
+ "learning_rate": 1.834367160368732e-05,
758
+ "loss": 0.4108,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.27,
763
+ "grad_norm": 1.046875,
764
+ "learning_rate": 1.8295252446849842e-05,
765
+ "loss": 0.4479,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.2725,
770
+ "grad_norm": 1.2578125,
771
+ "learning_rate": 1.8246201574422164e-05,
772
+ "loss": 0.4491,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.275,
777
+ "grad_norm": 1.40625,
778
+ "learning_rate": 1.8196522721818128e-05,
779
+ "loss": 0.4101,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.2775,
784
+ "grad_norm": 0.88671875,
785
+ "learning_rate": 1.8146219672274693e-05,
786
+ "loss": 0.3836,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.28,
791
+ "grad_norm": 0.84765625,
792
+ "learning_rate": 1.8095296256563845e-05,
793
+ "loss": 0.4341,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.2825,
798
+ "grad_norm": 1.328125,
799
+ "learning_rate": 1.8043756352700844e-05,
800
+ "loss": 0.3781,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.285,
805
+ "grad_norm": 1.0390625,
806
+ "learning_rate": 1.799160388564892e-05,
807
+ "loss": 0.3866,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.2875,
812
+ "grad_norm": 1.1328125,
813
+ "learning_rate": 1.7938842827020347e-05,
814
+ "loss": 0.4173,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.29,
819
+ "grad_norm": 1.171875,
820
+ "learning_rate": 1.788547719477402e-05,
821
+ "loss": 0.3896,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.2925,
826
+ "grad_norm": 1.0390625,
827
+ "learning_rate": 1.7831511052909442e-05,
828
+ "loss": 0.393,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.295,
833
+ "grad_norm": 0.90234375,
834
+ "learning_rate": 1.777694851115726e-05,
835
+ "loss": 0.3941,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.2975,
840
+ "grad_norm": 1.2578125,
841
+ "learning_rate": 1.772179372466627e-05,
842
+ "loss": 0.3998,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.3,
847
+ "grad_norm": 1.0390625,
848
+ "learning_rate": 1.7666050893687007e-05,
849
+ "loss": 0.4119,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.3025,
854
+ "grad_norm": 1.3515625,
855
+ "learning_rate": 1.760972426325187e-05,
856
+ "loss": 0.3405,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.305,
861
+ "grad_norm": 1.546875,
862
+ "learning_rate": 1.7552818122851838e-05,
863
+ "loss": 0.5383,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.3075,
868
+ "grad_norm": 1.6796875,
869
+ "learning_rate": 1.7495336806109828e-05,
870
+ "loss": 0.4734,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.31,
875
+ "grad_norm": 1.28125,
876
+ "learning_rate": 1.7437284690450656e-05,
877
+ "loss": 0.4313,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.3125,
882
+ "grad_norm": 1.3359375,
883
+ "learning_rate": 1.7378666196767685e-05,
884
+ "loss": 0.432,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.315,
889
+ "grad_norm": 1.515625,
890
+ "learning_rate": 1.7319485789086164e-05,
891
+ "loss": 0.401,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.3175,
896
+ "grad_norm": 1.1796875,
897
+ "learning_rate": 1.7259747974223264e-05,
898
+ "loss": 0.3599,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.32,
903
+ "grad_norm": 1.109375,
904
+ "learning_rate": 1.719945730144487e-05,
905
+ "loss": 0.3218,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.3225,
910
+ "grad_norm": 0.86328125,
911
+ "learning_rate": 1.7138618362119136e-05,
912
+ "loss": 0.3248,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.325,
917
+ "grad_norm": 2.59375,
918
+ "learning_rate": 1.7077235789366845e-05,
919
+ "loss": 0.5289,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.3275,
924
+ "grad_norm": 1.15625,
925
+ "learning_rate": 1.701531425770856e-05,
926
+ "loss": 0.4097,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.33,
931
+ "grad_norm": 0.84765625,
932
+ "learning_rate": 1.6952858482708657e-05,
933
+ "loss": 0.3437,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.3325,
938
+ "grad_norm": 0.9921875,
939
+ "learning_rate": 1.6889873220616208e-05,
940
+ "loss": 0.3796,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.335,
945
+ "grad_norm": 1.2421875,
946
+ "learning_rate": 1.682636326800278e-05,
947
+ "loss": 0.3579,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.3375,
952
+ "grad_norm": 1.6796875,
953
+ "learning_rate": 1.6762333461397157e-05,
954
+ "loss": 0.4375,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.34,
959
+ "grad_norm": 1.09375,
960
+ "learning_rate": 1.6697788676917007e-05,
961
+ "loss": 0.4392,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.3425,
966
+ "grad_norm": 0.8359375,
967
+ "learning_rate": 1.6632733829897567e-05,
968
+ "loss": 0.3189,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.345,
973
+ "grad_norm": 1.296875,
974
+ "learning_rate": 1.656717387451731e-05,
975
+ "loss": 0.3032,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.3475,
980
+ "grad_norm": 1.390625,
981
+ "learning_rate": 1.650111380342066e-05,
982
+ "loss": 0.4189,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.35,
987
+ "grad_norm": 1.375,
988
+ "learning_rate": 1.643455864733779e-05,
989
+ "loss": 0.3173,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.3525,
994
+ "grad_norm": 1.75,
995
+ "learning_rate": 1.636751347470152e-05,
996
+ "loss": 0.3714,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.355,
1001
+ "grad_norm": 2.203125,
1002
+ "learning_rate": 1.6299983391261323e-05,
1003
+ "loss": 0.3614,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.3575,
1008
+ "grad_norm": 1.2734375,
1009
+ "learning_rate": 1.6231973539694506e-05,
1010
+ "loss": 0.4073,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.36,
1015
+ "grad_norm": 1.375,
1016
+ "learning_rate": 1.616348909921457e-05,
1017
+ "loss": 0.3504,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.3625,
1022
+ "grad_norm": 1.28125,
1023
+ "learning_rate": 1.6094535285176812e-05,
1024
+ "loss": 0.3663,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.365,
1029
+ "grad_norm": 0.8046875,
1030
+ "learning_rate": 1.6025117348681133e-05,
1031
+ "loss": 0.3766,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.3675,
1036
+ "grad_norm": 0.94140625,
1037
+ "learning_rate": 1.5955240576172165e-05,
1038
+ "loss": 0.3743,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.37,
1043
+ "grad_norm": 0.91796875,
1044
+ "learning_rate": 1.588491028903667e-05,
1045
+ "loss": 0.3538,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.3725,
1050
+ "grad_norm": 0.82421875,
1051
+ "learning_rate": 1.5814131843198307e-05,
1052
+ "loss": 0.3508,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.375,
1057
+ "grad_norm": 1.578125,
1058
+ "learning_rate": 1.5742910628709757e-05,
1059
+ "loss": 0.4406,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.3775,
1064
+ "grad_norm": 0.90234375,
1065
+ "learning_rate": 1.567125206934225e-05,
1066
+ "loss": 0.3217,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.38,
1071
+ "grad_norm": 1.0078125,
1072
+ "learning_rate": 1.5599161622172515e-05,
1073
+ "loss": 0.3889,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.3825,
1078
+ "grad_norm": 1.4453125,
1079
+ "learning_rate": 1.552664477716722e-05,
1080
+ "loss": 0.3753,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.385,
1085
+ "grad_norm": 1.0625,
1086
+ "learning_rate": 1.5453707056764865e-05,
1087
+ "loss": 0.3065,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.3875,
1092
+ "grad_norm": 1.3359375,
1093
+ "learning_rate": 1.538035401545525e-05,
1094
+ "loss": 0.362,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.39,
1099
+ "grad_norm": 1.4609375,
1100
+ "learning_rate": 1.5306591239356477e-05,
1101
+ "loss": 0.3934,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.3925,
1106
+ "grad_norm": 1.4609375,
1107
+ "learning_rate": 1.5232424345789517e-05,
1108
+ "loss": 0.4311,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.395,
1113
+ "grad_norm": 1.109375,
1114
+ "learning_rate": 1.5157858982850475e-05,
1115
+ "loss": 0.3334,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.3975,
1120
+ "grad_norm": 1.0546875,
1121
+ "learning_rate": 1.5082900828980425e-05,
1122
+ "loss": 0.4175,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.4,
1127
+ "grad_norm": 0.6640625,
1128
+ "learning_rate": 1.5007555592532996e-05,
1129
+ "loss": 0.3453,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.4025,
1134
+ "grad_norm": 0.9140625,
1135
+ "learning_rate": 1.4931829011339658e-05,
1136
+ "loss": 0.3693,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.405,
1141
+ "grad_norm": 0.88671875,
1142
+ "learning_rate": 1.4855726852272754e-05,
1143
+ "loss": 0.3871,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.4075,
1148
+ "grad_norm": 0.796875,
1149
+ "learning_rate": 1.4779254910806336e-05,
1150
+ "loss": 0.3512,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.41,
1155
+ "grad_norm": 1.3984375,
1156
+ "learning_rate": 1.4702419010574824e-05,
1157
+ "loss": 0.411,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.4125,
1162
+ "grad_norm": 1.3828125,
1163
+ "learning_rate": 1.4625225002929501e-05,
1164
+ "loss": 0.383,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.415,
1169
+ "grad_norm": 1.3203125,
1170
+ "learning_rate": 1.4547678766492919e-05,
1171
+ "loss": 0.3493,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.4175,
1176
+ "grad_norm": 1.359375,
1177
+ "learning_rate": 1.4469786206711213e-05,
1178
+ "loss": 0.3665,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.42,
1183
+ "grad_norm": 1.8359375,
1184
+ "learning_rate": 1.4391553255404385e-05,
1185
+ "loss": 0.327,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.4225,
1190
+ "grad_norm": 0.953125,
1191
+ "learning_rate": 1.4312985870314568e-05,
1192
+ "loss": 0.3758,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.425,
1197
+ "grad_norm": 1.2578125,
1198
+ "learning_rate": 1.4234090034652324e-05,
1199
+ "loss": 0.337,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.4275,
1204
+ "grad_norm": 0.875,
1205
+ "learning_rate": 1.4154871756640996e-05,
1206
+ "loss": 0.2903,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.43,
1211
+ "grad_norm": 0.9921875,
1212
+ "learning_rate": 1.4075337069059159e-05,
1213
+ "loss": 0.4283,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.4325,
1218
+ "grad_norm": 1.0546875,
1219
+ "learning_rate": 1.3995492028781202e-05,
1220
+ "loss": 0.4288,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.435,
1225
+ "grad_norm": 1.0625,
1226
+ "learning_rate": 1.3915342716316075e-05,
1227
+ "loss": 0.4184,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.4375,
1232
+ "grad_norm": 1.1796875,
1233
+ "learning_rate": 1.3834895235344242e-05,
1234
+ "loss": 0.3089,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.44,
1239
+ "grad_norm": 0.8671875,
1240
+ "learning_rate": 1.3754155712252832e-05,
1241
+ "loss": 0.3169,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.4425,
1246
+ "grad_norm": 1.1640625,
1247
+ "learning_rate": 1.367313029566913e-05,
1248
+ "loss": 0.3522,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.445,
1253
+ "grad_norm": 1.109375,
1254
+ "learning_rate": 1.3591825155992311e-05,
1255
+ "loss": 0.3641,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.4475,
1260
+ "grad_norm": 0.84375,
1261
+ "learning_rate": 1.3510246484923547e-05,
1262
+ "loss": 0.3394,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.45,
1267
+ "grad_norm": 0.9765625,
1268
+ "learning_rate": 1.3428400494994484e-05,
1269
+ "loss": 0.3107,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.4525,
1274
+ "grad_norm": 1.03125,
1275
+ "learning_rate": 1.3346293419094134e-05,
1276
+ "loss": 0.3344,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.455,
1281
+ "grad_norm": 1.3046875,
1282
+ "learning_rate": 1.326393150999422e-05,
1283
+ "loss": 0.3364,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.4575,
1288
+ "grad_norm": 0.9921875,
1289
+ "learning_rate": 1.3181321039872995e-05,
1290
+ "loss": 0.3396,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.46,
1295
+ "grad_norm": 0.90625,
1296
+ "learning_rate": 1.3098468299837599e-05,
1297
+ "loss": 0.3707,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.4625,
1302
+ "grad_norm": 1.1953125,
1303
+ "learning_rate": 1.3015379599444958e-05,
1304
+ "loss": 0.3758,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.465,
1309
+ "grad_norm": 1.3359375,
1310
+ "learning_rate": 1.2932061266221304e-05,
1311
+ "loss": 0.3853,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.4675,
1316
+ "grad_norm": 0.96484375,
1317
+ "learning_rate": 1.2848519645180296e-05,
1318
+ "loss": 0.3396,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.47,
1323
+ "grad_norm": 1.453125,
1324
+ "learning_rate": 1.276476109833981e-05,
1325
+ "loss": 0.3241,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.4725,
1330
+ "grad_norm": 1.1015625,
1331
+ "learning_rate": 1.268079200423748e-05,
1332
+ "loss": 0.3541,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.475,
1337
+ "grad_norm": 1.015625,
1338
+ "learning_rate": 1.2596618757444918e-05,
1339
+ "loss": 0.372,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.4775,
1344
+ "grad_norm": 1.46875,
1345
+ "learning_rate": 1.2512247768080756e-05,
1346
+ "loss": 0.4219,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.48,
1351
+ "grad_norm": 1.453125,
1352
+ "learning_rate": 1.2427685461322497e-05,
1353
+ "loss": 0.3663,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.4825,
1358
+ "grad_norm": 1.015625,
1359
+ "learning_rate": 1.2342938276917187e-05,
1360
+ "loss": 0.3584,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.485,
1365
+ "grad_norm": 1.2109375,
1366
+ "learning_rate": 1.2258012668691039e-05,
1367
+ "loss": 0.3991,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.4875,
1372
+ "grad_norm": 1.765625,
1373
+ "learning_rate": 1.2172915104057919e-05,
1374
+ "loss": 0.4113,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.49,
1379
+ "grad_norm": 1.953125,
1380
+ "learning_rate": 1.2087652063526837e-05,
1381
+ "loss": 0.3711,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.4925,
1386
+ "grad_norm": 0.6953125,
1387
+ "learning_rate": 1.2002230040208446e-05,
1388
+ "loss": 0.3359,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.495,
1393
+ "grad_norm": 1.0859375,
1394
+ "learning_rate": 1.1916655539320547e-05,
1395
+ "loss": 0.3334,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.4975,
1400
+ "grad_norm": 0.93359375,
1401
+ "learning_rate": 1.1830935077692696e-05,
1402
+ "loss": 0.3273,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.5,
1407
+ "grad_norm": 0.796875,
1408
+ "learning_rate": 1.174507518326992e-05,
1409
+ "loss": 0.3102,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.5025,
1414
+ "grad_norm": 0.84375,
1415
+ "learning_rate": 1.1659082394615608e-05,
1416
+ "loss": 0.3425,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.505,
1421
+ "grad_norm": 0.96875,
1422
+ "learning_rate": 1.1572963260413547e-05,
1423
+ "loss": 0.3965,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.5075,
1428
+ "grad_norm": 1.3671875,
1429
+ "learning_rate": 1.1486724338969233e-05,
1430
+ "loss": 0.3705,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.51,
1435
+ "grad_norm": 1.09375,
1436
+ "learning_rate": 1.1400372197710414e-05,
1437
+ "loss": 0.3645,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.5125,
1442
+ "grad_norm": 1.171875,
1443
+ "learning_rate": 1.131391341268698e-05,
1444
+ "loss": 0.3712,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.515,
1449
+ "grad_norm": 0.8203125,
1450
+ "learning_rate": 1.122735456807015e-05,
1451
+ "loss": 0.309,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.5175,
1456
+ "grad_norm": 0.96484375,
1457
+ "learning_rate": 1.1140702255651064e-05,
1458
+ "loss": 0.3017,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.52,
1463
+ "grad_norm": 1.015625,
1464
+ "learning_rate": 1.1053963074338798e-05,
1465
+ "loss": 0.3197,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.5225,
1470
+ "grad_norm": 0.96875,
1471
+ "learning_rate": 1.0967143629657842e-05,
1472
+ "loss": 0.3226,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.525,
1477
+ "grad_norm": 0.84375,
1478
+ "learning_rate": 1.0880250533245038e-05,
1479
+ "loss": 0.3085,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.5275,
1484
+ "grad_norm": 1.421875,
1485
+ "learning_rate": 1.0793290402346094e-05,
1486
+ "loss": 0.3397,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.53,
1491
+ "grad_norm": 0.78125,
1492
+ "learning_rate": 1.0706269859311669e-05,
1493
+ "loss": 0.3017,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.5325,
1498
+ "grad_norm": 1.1484375,
1499
+ "learning_rate": 1.0619195531093019e-05,
1500
+ "loss": 0.4018,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.535,
1505
+ "grad_norm": 0.8828125,
1506
+ "learning_rate": 1.0532074048737364e-05,
1507
+ "loss": 0.3891,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.5375,
1512
+ "grad_norm": 1.1484375,
1513
+ "learning_rate": 1.0444912046882889e-05,
1514
+ "loss": 0.3713,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.54,
1519
+ "grad_norm": 1.1171875,
1520
+ "learning_rate": 1.0357716163253498e-05,
1521
+ "loss": 0.3674,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.5425,
1526
+ "grad_norm": 1.5625,
1527
+ "learning_rate": 1.027049303815332e-05,
1528
+ "loss": 0.3863,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.545,
1533
+ "grad_norm": 0.66796875,
1534
+ "learning_rate": 1.018324931396103e-05,
1535
+ "loss": 0.3179,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.5475,
1540
+ "grad_norm": 0.7890625,
1541
+ "learning_rate": 1.0095991634624001e-05,
1542
+ "loss": 0.2956,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.55,
1547
+ "grad_norm": 1.3046875,
1548
+ "learning_rate": 1.0008726645152354e-05,
1549
+ "loss": 0.422,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.5525,
1554
+ "grad_norm": 0.96484375,
1555
+ "learning_rate": 9.921460991112891e-06,
1556
+ "loss": 0.2752,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.555,
1561
+ "grad_norm": 0.81640625,
1562
+ "learning_rate": 9.834201318123026e-06,
1563
+ "loss": 0.3246,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.5575,
1568
+ "grad_norm": 1.59375,
1569
+ "learning_rate": 9.746954271344703e-06,
1570
+ "loss": 0.3541,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.56,
1575
+ "grad_norm": 1.1328125,
1576
+ "learning_rate": 9.659726494978325e-06,
1577
+ "loss": 0.3129,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.5625,
1582
+ "grad_norm": 0.9140625,
1583
+ "learning_rate": 9.572524631756779e-06,
1584
+ "loss": 0.3229,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.565,
1589
+ "grad_norm": 0.88671875,
1590
+ "learning_rate": 9.48535532243956e-06,
1591
+ "loss": 0.3928,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.5675,
1596
+ "grad_norm": 0.9375,
1597
+ "learning_rate": 9.398225205307067e-06,
1598
+ "loss": 0.3311,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.57,
1603
+ "grad_norm": 1.203125,
1604
+ "learning_rate": 9.311140915655055e-06,
1605
+ "loss": 0.3287,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.5725,
1610
+ "grad_norm": 0.875,
1611
+ "learning_rate": 9.224109085289343e-06,
1612
+ "loss": 0.3994,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.575,
1617
+ "grad_norm": 0.9375,
1618
+ "learning_rate": 9.137136342020768e-06,
1619
+ "loss": 0.3201,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.5775,
1624
+ "grad_norm": 0.796875,
1625
+ "learning_rate": 9.050229309160462e-06,
1626
+ "loss": 0.3387,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.58,
1631
+ "grad_norm": 0.94921875,
1632
+ "learning_rate": 8.963394605015453e-06,
1633
+ "loss": 0.335,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.5825,
1638
+ "grad_norm": 0.94140625,
1639
+ "learning_rate": 8.876638842384645e-06,
1640
+ "loss": 0.3444,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.585,
1645
+ "grad_norm": 1.1328125,
1646
+ "learning_rate": 8.789968628055262e-06,
1647
+ "loss": 0.3657,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.5875,
1652
+ "grad_norm": 1.53125,
1653
+ "learning_rate": 8.703390562299683e-06,
1654
+ "loss": 0.3219,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.59,
1659
+ "grad_norm": 1.0546875,
1660
+ "learning_rate": 8.616911238372812e-06,
1661
+ "loss": 0.3107,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.5925,
1666
+ "grad_norm": 1.1875,
1667
+ "learning_rate": 8.530537242009985e-06,
1668
+ "loss": 0.3608,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.595,
1673
+ "grad_norm": 1.84375,
1674
+ "learning_rate": 8.444275150925431e-06,
1675
+ "loss": 0.4708,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.5975,
1680
+ "grad_norm": 0.96875,
1681
+ "learning_rate": 8.358131534311372e-06,
1682
+ "loss": 0.3426,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.6,
1687
+ "grad_norm": 0.65625,
1688
+ "learning_rate": 8.272112952337728e-06,
1689
+ "loss": 0.3398,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.6025,
1694
+ "grad_norm": 1.171875,
1695
+ "learning_rate": 8.186225955652547e-06,
1696
+ "loss": 0.3162,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.605,
1701
+ "grad_norm": 0.89453125,
1702
+ "learning_rate": 8.100477084883156e-06,
1703
+ "loss": 0.3307,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.6075,
1708
+ "grad_norm": 1.2734375,
1709
+ "learning_rate": 8.014872870138055e-06,
1710
+ "loss": 0.3659,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.61,
1715
+ "grad_norm": 0.9140625,
1716
+ "learning_rate": 7.929419830509619e-06,
1717
+ "loss": 0.3658,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.6125,
1722
+ "grad_norm": 0.828125,
1723
+ "learning_rate": 7.844124473577672e-06,
1724
+ "loss": 0.3312,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.615,
1729
+ "grad_norm": 1.625,
1730
+ "learning_rate": 7.758993294913873e-06,
1731
+ "loss": 0.3807,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.6175,
1736
+ "grad_norm": 1.34375,
1737
+ "learning_rate": 7.674032777587076e-06,
1738
+ "loss": 0.3676,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.62,
1743
+ "grad_norm": 0.94921875,
1744
+ "learning_rate": 7.589249391669615e-06,
1745
+ "loss": 0.332,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.6225,
1750
+ "grad_norm": 1.21875,
1751
+ "learning_rate": 7.5046495937445774e-06,
1752
+ "loss": 0.3553,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.625,
1757
+ "grad_norm": 0.8203125,
1758
+ "learning_rate": 7.4202398264141195e-06,
1759
+ "loss": 0.3122,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.6275,
1764
+ "grad_norm": 1.1953125,
1765
+ "learning_rate": 7.336026517808828e-06,
1766
+ "loss": 0.3194,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.63,
1771
+ "grad_norm": 0.828125,
1772
+ "learning_rate": 7.252016081098195e-06,
1773
+ "loss": 0.2849,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.6325,
1778
+ "grad_norm": 0.85546875,
1779
+ "learning_rate": 7.168214914002243e-06,
1780
+ "loss": 0.3142,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.635,
1785
+ "grad_norm": 1.3046875,
1786
+ "learning_rate": 7.08462939830429e-06,
1787
+ "loss": 0.3926,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.6375,
1792
+ "grad_norm": 0.93359375,
1793
+ "learning_rate": 7.001265899364968e-06,
1794
+ "loss": 0.3449,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.64,
1799
+ "grad_norm": 1.078125,
1800
+ "learning_rate": 6.918130765637485e-06,
1801
+ "loss": 0.3038,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.6425,
1806
+ "grad_norm": 1.140625,
1807
+ "learning_rate": 6.835230328184139e-06,
1808
+ "loss": 0.3903,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.645,
1813
+ "grad_norm": 1.8515625,
1814
+ "learning_rate": 6.752570900194206e-06,
1815
+ "loss": 0.3952,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.6475,
1820
+ "grad_norm": 0.8984375,
1821
+ "learning_rate": 6.670158776503158e-06,
1822
+ "loss": 0.3329,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 0.65,
1827
+ "grad_norm": 1.0546875,
1828
+ "learning_rate": 6.588000233113282e-06,
1829
+ "loss": 0.288,
1830
+ "step": 2600
1831
+ },
1832
+ {
1833
+ "epoch": 0.6525,
1834
+ "grad_norm": 0.66015625,
1835
+ "learning_rate": 6.506101526715749e-06,
1836
+ "loss": 0.3244,
1837
+ "step": 2610
1838
+ },
1839
+ {
1840
+ "epoch": 0.655,
1841
+ "grad_norm": 1.0,
1842
+ "learning_rate": 6.424468894214137e-06,
1843
+ "loss": 0.3479,
1844
+ "step": 2620
1845
+ },
1846
+ {
1847
+ "epoch": 0.6575,
1848
+ "grad_norm": 0.80078125,
1849
+ "learning_rate": 6.343108552249457e-06,
1850
+ "loss": 0.3273,
1851
+ "step": 2630
1852
+ },
1853
+ {
1854
+ "epoch": 0.66,
1855
+ "grad_norm": 1.3046875,
1856
+ "learning_rate": 6.262026696726759e-06,
1857
+ "loss": 0.3332,
1858
+ "step": 2640
1859
+ },
1860
+ {
1861
+ "epoch": 0.6625,
1862
+ "grad_norm": 0.96484375,
1863
+ "learning_rate": 6.181229502343256e-06,
1864
+ "loss": 0.3559,
1865
+ "step": 2650
1866
+ },
1867
+ {
1868
+ "epoch": 0.665,
1869
+ "grad_norm": 0.8671875,
1870
+ "learning_rate": 6.100723122118121e-06,
1871
+ "loss": 0.402,
1872
+ "step": 2660
1873
+ },
1874
+ {
1875
+ "epoch": 0.6675,
1876
+ "grad_norm": 0.7578125,
1877
+ "learning_rate": 6.020513686923897e-06,
1878
+ "loss": 0.33,
1879
+ "step": 2670
1880
+ },
1881
+ {
1882
+ "epoch": 0.67,
1883
+ "grad_norm": 0.66796875,
1884
+ "learning_rate": 5.940607305019623e-06,
1885
+ "loss": 0.3334,
1886
+ "step": 2680
1887
+ },
1888
+ {
1889
+ "epoch": 0.6725,
1890
+ "grad_norm": 0.78515625,
1891
+ "learning_rate": 5.861010061585652e-06,
1892
+ "loss": 0.3087,
1893
+ "step": 2690
1894
+ },
1895
+ {
1896
+ "epoch": 0.675,
1897
+ "grad_norm": 0.87890625,
1898
+ "learning_rate": 5.781728018260242e-06,
1899
+ "loss": 0.3991,
1900
+ "step": 2700
1901
+ },
1902
+ {
1903
+ "epoch": 0.6775,
1904
+ "grad_norm": 0.99609375,
1905
+ "learning_rate": 5.7027672126779465e-06,
1906
+ "loss": 0.3363,
1907
+ "step": 2710
1908
+ },
1909
+ {
1910
+ "epoch": 0.68,
1911
+ "grad_norm": 1.125,
1912
+ "learning_rate": 5.624133658009817e-06,
1913
+ "loss": 0.3527,
1914
+ "step": 2720
1915
+ },
1916
+ {
1917
+ "epoch": 0.6825,
1918
+ "grad_norm": 0.83984375,
1919
+ "learning_rate": 5.5458333425054825e-06,
1920
+ "loss": 0.3099,
1921
+ "step": 2730
1922
+ },
1923
+ {
1924
+ "epoch": 0.685,
1925
+ "grad_norm": 1.1015625,
1926
+ "learning_rate": 5.467872229037128e-06,
1927
+ "loss": 0.3354,
1928
+ "step": 2740
1929
+ },
1930
+ {
1931
+ "epoch": 0.6875,
1932
+ "grad_norm": 0.7578125,
1933
+ "learning_rate": 5.390256254645379e-06,
1934
+ "loss": 0.3036,
1935
+ "step": 2750
1936
+ },
1937
+ {
1938
+ "epoch": 0.69,
1939
+ "grad_norm": 0.88671875,
1940
+ "learning_rate": 5.3129913300871846e-06,
1941
+ "loss": 0.348,
1942
+ "step": 2760
1943
+ },
1944
+ {
1945
+ "epoch": 0.6925,
1946
+ "grad_norm": 0.7578125,
1947
+ "learning_rate": 5.236083339385698e-06,
1948
+ "loss": 0.3225,
1949
+ "step": 2770
1950
+ },
1951
+ {
1952
+ "epoch": 0.695,
1953
+ "grad_norm": 0.84375,
1954
+ "learning_rate": 5.159538139382168e-06,
1955
+ "loss": 0.3578,
1956
+ "step": 2780
1957
+ },
1958
+ {
1959
+ "epoch": 0.6975,
1960
+ "grad_norm": 0.85546875,
1961
+ "learning_rate": 5.0833615592899355e-06,
1962
+ "loss": 0.3227,
1963
+ "step": 2790
1964
+ },
1965
+ {
1966
+ "epoch": 0.7,
1967
+ "grad_norm": 0.98046875,
1968
+ "learning_rate": 5.0075594002505035e-06,
1969
+ "loss": 0.3013,
1970
+ "step": 2800
1971
+ },
1972
+ {
1973
+ "epoch": 0.7025,
1974
+ "grad_norm": 0.77734375,
1975
+ "learning_rate": 4.932137434891759e-06,
1976
+ "loss": 0.3191,
1977
+ "step": 2810
1978
+ },
1979
+ {
1980
+ "epoch": 0.705,
1981
+ "grad_norm": 1.2734375,
1982
+ "learning_rate": 4.857101406888378e-06,
1983
+ "loss": 0.3563,
1984
+ "step": 2820
1985
+ },
1986
+ {
1987
+ "epoch": 0.7075,
1988
+ "grad_norm": 1.21875,
1989
+ "learning_rate": 4.782457030524405e-06,
1990
+ "loss": 0.3142,
1991
+ "step": 2830
1992
+ },
1993
+ {
1994
+ "epoch": 0.71,
1995
+ "grad_norm": 1.1328125,
1996
+ "learning_rate": 4.708209990258096e-06,
1997
+ "loss": 0.3369,
1998
+ "step": 2840
1999
+ },
2000
+ {
2001
+ "epoch": 0.7125,
2002
+ "grad_norm": 0.8359375,
2003
+ "learning_rate": 4.634365940289026e-06,
2004
+ "loss": 0.2792,
2005
+ "step": 2850
2006
+ },
2007
+ {
2008
+ "epoch": 0.715,
2009
+ "grad_norm": 0.83203125,
2010
+ "learning_rate": 4.560930504127501e-06,
2011
+ "loss": 0.3316,
2012
+ "step": 2860
2013
+ },
2014
+ {
2015
+ "epoch": 0.7175,
2016
+ "grad_norm": 0.84375,
2017
+ "learning_rate": 4.4879092741663e-06,
2018
+ "loss": 0.3168,
2019
+ "step": 2870
2020
+ },
2021
+ {
2022
+ "epoch": 0.72,
2023
+ "grad_norm": 0.97265625,
2024
+ "learning_rate": 4.4153078112547955e-06,
2025
+ "loss": 0.2996,
2026
+ "step": 2880
2027
+ },
2028
+ {
2029
+ "epoch": 0.7225,
2030
+ "grad_norm": 1.390625,
2031
+ "learning_rate": 4.343131644275478e-06,
2032
+ "loss": 0.2837,
2033
+ "step": 2890
2034
+ },
2035
+ {
2036
+ "epoch": 0.725,
2037
+ "grad_norm": 1.1796875,
2038
+ "learning_rate": 4.271386269722909e-06,
2039
+ "loss": 0.3056,
2040
+ "step": 2900
2041
+ },
2042
+ {
2043
+ "epoch": 0.7275,
2044
+ "grad_norm": 1.0390625,
2045
+ "learning_rate": 4.20007715128513e-06,
2046
+ "loss": 0.3173,
2047
+ "step": 2910
2048
+ },
2049
+ {
2050
+ "epoch": 0.73,
2051
+ "grad_norm": 1.234375,
2052
+ "learning_rate": 4.129209719427596e-06,
2053
+ "loss": 0.2383,
2054
+ "step": 2920
2055
+ },
2056
+ {
2057
+ "epoch": 0.7325,
2058
+ "grad_norm": 0.99609375,
2059
+ "learning_rate": 4.058789370979616e-06,
2060
+ "loss": 0.2869,
2061
+ "step": 2930
2062
+ },
2063
+ {
2064
+ "epoch": 0.735,
2065
+ "grad_norm": 1.171875,
2066
+ "learning_rate": 3.988821468723368e-06,
2067
+ "loss": 0.2942,
2068
+ "step": 2940
2069
+ },
2070
+ {
2071
+ "epoch": 0.7375,
2072
+ "grad_norm": 0.55078125,
2073
+ "learning_rate": 3.919311340985501e-06,
2074
+ "loss": 0.3104,
2075
+ "step": 2950
2076
+ },
2077
+ {
2078
+ "epoch": 0.74,
2079
+ "grad_norm": 0.86328125,
2080
+ "learning_rate": 3.8502642812313574e-06,
2081
+ "loss": 0.3079,
2082
+ "step": 2960
2083
+ },
2084
+ {
2085
+ "epoch": 0.7425,
2086
+ "grad_norm": 1.15625,
2087
+ "learning_rate": 3.781685547661872e-06,
2088
+ "loss": 0.3551,
2089
+ "step": 2970
2090
+ },
2091
+ {
2092
+ "epoch": 0.745,
2093
+ "grad_norm": 0.98046875,
2094
+ "learning_rate": 3.7135803628131152e-06,
2095
+ "loss": 0.3161,
2096
+ "step": 2980
2097
+ },
2098
+ {
2099
+ "epoch": 0.7475,
2100
+ "grad_norm": 0.78515625,
2101
+ "learning_rate": 3.645953913158593e-06,
2102
+ "loss": 0.2872,
2103
+ "step": 2990
2104
+ },
2105
+ {
2106
+ "epoch": 0.75,
2107
+ "grad_norm": 0.7890625,
2108
+ "learning_rate": 3.5788113487142707e-06,
2109
+ "loss": 0.316,
2110
+ "step": 3000
2111
+ },
2112
+ {
2113
+ "epoch": 0.7525,
2114
+ "grad_norm": 1.2578125,
2115
+ "learning_rate": 3.5121577826463894e-06,
2116
+ "loss": 0.3416,
2117
+ "step": 3010
2118
+ },
2119
+ {
2120
+ "epoch": 0.755,
2121
+ "grad_norm": 1.015625,
2122
+ "learning_rate": 3.445998290882062e-06,
2123
+ "loss": 0.2915,
2124
+ "step": 3020
2125
+ },
2126
+ {
2127
+ "epoch": 0.7575,
2128
+ "grad_norm": 1.1171875,
2129
+ "learning_rate": 3.380337911722731e-06,
2130
+ "loss": 0.3179,
2131
+ "step": 3030
2132
+ },
2133
+ {
2134
+ "epoch": 0.76,
2135
+ "grad_norm": 0.6875,
2136
+ "learning_rate": 3.315181645460488e-06,
2137
+ "loss": 0.336,
2138
+ "step": 3040
2139
+ },
2140
+ {
2141
+ "epoch": 0.7625,
2142
+ "grad_norm": 0.9765625,
2143
+ "learning_rate": 3.2505344539972703e-06,
2144
+ "loss": 0.2637,
2145
+ "step": 3050
2146
+ },
2147
+ {
2148
+ "epoch": 0.765,
2149
+ "grad_norm": 1.25,
2150
+ "learning_rate": 3.1864012604669993e-06,
2151
+ "loss": 0.3314,
2152
+ "step": 3060
2153
+ },
2154
+ {
2155
+ "epoch": 0.7675,
2156
+ "grad_norm": 0.9765625,
2157
+ "learning_rate": 3.1227869488606643e-06,
2158
+ "loss": 0.2826,
2159
+ "step": 3070
2160
+ },
2161
+ {
2162
+ "epoch": 0.77,
2163
+ "grad_norm": 1.203125,
2164
+ "learning_rate": 3.0596963636543865e-06,
2165
+ "loss": 0.3461,
2166
+ "step": 3080
2167
+ },
2168
+ {
2169
+ "epoch": 0.7725,
2170
+ "grad_norm": 1.3203125,
2171
+ "learning_rate": 2.9971343094404935e-06,
2172
+ "loss": 0.3218,
2173
+ "step": 3090
2174
+ },
2175
+ {
2176
+ "epoch": 0.775,
2177
+ "grad_norm": 0.98828125,
2178
+ "learning_rate": 2.935105550561631e-06,
2179
+ "loss": 0.31,
2180
+ "step": 3100
2181
+ },
2182
+ {
2183
+ "epoch": 0.7775,
2184
+ "grad_norm": 1.0078125,
2185
+ "learning_rate": 2.8736148107479467e-06,
2186
+ "loss": 0.3617,
2187
+ "step": 3110
2188
+ },
2189
+ {
2190
+ "epoch": 0.78,
2191
+ "grad_norm": 1.125,
2192
+ "learning_rate": 2.8126667727573444e-06,
2193
+ "loss": 0.3456,
2194
+ "step": 3120
2195
+ },
2196
+ {
2197
+ "epoch": 0.7825,
2198
+ "grad_norm": 0.65234375,
2199
+ "learning_rate": 2.7522660780188904e-06,
2200
+ "loss": 0.3011,
2201
+ "step": 3130
2202
+ },
2203
+ {
2204
+ "epoch": 0.785,
2205
+ "grad_norm": 0.94140625,
2206
+ "learning_rate": 2.6924173262793386e-06,
2207
+ "loss": 0.3238,
2208
+ "step": 3140
2209
+ },
2210
+ {
2211
+ "epoch": 0.7875,
2212
+ "grad_norm": 0.9453125,
2213
+ "learning_rate": 2.633125075252848e-06,
2214
+ "loss": 0.3246,
2215
+ "step": 3150
2216
+ },
2217
+ {
2218
+ "epoch": 0.79,
2219
+ "grad_norm": 0.9453125,
2220
+ "learning_rate": 2.5743938402738923e-06,
2221
+ "loss": 0.2892,
2222
+ "step": 3160
2223
+ },
2224
+ {
2225
+ "epoch": 0.7925,
2226
+ "grad_norm": 1.4609375,
2227
+ "learning_rate": 2.5162280939534024e-06,
2228
+ "loss": 0.3282,
2229
+ "step": 3170
2230
+ },
2231
+ {
2232
+ "epoch": 0.795,
2233
+ "grad_norm": 0.82421875,
2234
+ "learning_rate": 2.4586322658381566e-06,
2235
+ "loss": 0.3261,
2236
+ "step": 3180
2237
+ },
2238
+ {
2239
+ "epoch": 0.7975,
2240
+ "grad_norm": 1.015625,
2241
+ "learning_rate": 2.4016107420734625e-06,
2242
+ "loss": 0.3146,
2243
+ "step": 3190
2244
+ },
2245
+ {
2246
+ "epoch": 0.8,
2247
+ "grad_norm": 0.8671875,
2248
+ "learning_rate": 2.3451678650691202e-06,
2249
+ "loss": 0.3101,
2250
+ "step": 3200
2251
+ },
2252
+ {
2253
+ "epoch": 0.8025,
2254
+ "grad_norm": 1.0234375,
2255
+ "learning_rate": 2.2893079331687397e-06,
2256
+ "loss": 0.32,
2257
+ "step": 3210
2258
+ },
2259
+ {
2260
+ "epoch": 0.805,
2261
+ "grad_norm": 0.953125,
2262
+ "learning_rate": 2.2340352003224065e-06,
2263
+ "loss": 0.321,
2264
+ "step": 3220
2265
+ },
2266
+ {
2267
+ "epoch": 0.8075,
2268
+ "grad_norm": 0.625,
2269
+ "learning_rate": 2.1793538757627217e-06,
2270
+ "loss": 0.3146,
2271
+ "step": 3230
2272
+ },
2273
+ {
2274
+ "epoch": 0.81,
2275
+ "grad_norm": 1.515625,
2276
+ "learning_rate": 2.125268123684262e-06,
2277
+ "loss": 0.3224,
2278
+ "step": 3240
2279
+ },
2280
+ {
2281
+ "epoch": 0.8125,
2282
+ "grad_norm": 1.3671875,
2283
+ "learning_rate": 2.0717820629264496e-06,
2284
+ "loss": 0.3998,
2285
+ "step": 3250
2286
+ },
2287
+ {
2288
+ "epoch": 0.815,
2289
+ "grad_norm": 0.9453125,
2290
+ "learning_rate": 2.0188997666598853e-06,
2291
+ "loss": 0.379,
2292
+ "step": 3260
2293
+ },
2294
+ {
2295
+ "epoch": 0.8175,
2296
+ "grad_norm": 0.6953125,
2297
+ "learning_rate": 1.9666252620761782e-06,
2298
+ "loss": 0.3477,
2299
+ "step": 3270
2300
+ },
2301
+ {
2302
+ "epoch": 0.82,
2303
+ "grad_norm": 1.1015625,
2304
+ "learning_rate": 1.9149625300812403e-06,
2305
+ "loss": 0.3672,
2306
+ "step": 3280
2307
+ },
2308
+ {
2309
+ "epoch": 0.8225,
2310
+ "grad_norm": 0.65234375,
2311
+ "learning_rate": 1.863915504992131e-06,
2312
+ "loss": 0.3001,
2313
+ "step": 3290
2314
+ },
2315
+ {
2316
+ "epoch": 0.825,
2317
+ "grad_norm": 1.3671875,
2318
+ "learning_rate": 1.8134880742374483e-06,
2319
+ "loss": 0.318,
2320
+ "step": 3300
2321
+ },
2322
+ {
2323
+ "epoch": 0.8275,
2324
+ "grad_norm": 0.76171875,
2325
+ "learning_rate": 1.763684078061283e-06,
2326
+ "loss": 0.2525,
2327
+ "step": 3310
2328
+ },
2329
+ {
2330
+ "epoch": 0.83,
2331
+ "grad_norm": 1.7890625,
2332
+ "learning_rate": 1.7145073092307663e-06,
2333
+ "loss": 0.3146,
2334
+ "step": 3320
2335
+ },
2336
+ {
2337
+ "epoch": 0.8325,
2338
+ "grad_norm": 1.515625,
2339
+ "learning_rate": 1.6659615127472384e-06,
2340
+ "loss": 0.3647,
2341
+ "step": 3330
2342
+ },
2343
+ {
2344
+ "epoch": 0.835,
2345
+ "grad_norm": 0.8671875,
2346
+ "learning_rate": 1.6180503855610563e-06,
2347
+ "loss": 0.3408,
2348
+ "step": 3340
2349
+ },
2350
+ {
2351
+ "epoch": 0.8375,
2352
+ "grad_norm": 1.1484375,
2353
+ "learning_rate": 1.5707775762900546e-06,
2354
+ "loss": 0.2909,
2355
+ "step": 3350
2356
+ },
2357
+ {
2358
+ "epoch": 0.84,
2359
+ "grad_norm": 0.86328125,
2360
+ "learning_rate": 1.5241466849416797e-06,
2361
+ "loss": 0.3002,
2362
+ "step": 3360
2363
+ },
2364
+ {
2365
+ "epoch": 0.8425,
2366
+ "grad_norm": 1.0625,
2367
+ "learning_rate": 1.4781612626388475e-06,
2368
+ "loss": 0.3174,
2369
+ "step": 3370
2370
+ },
2371
+ {
2372
+ "epoch": 0.845,
2373
+ "grad_norm": 1.09375,
2374
+ "learning_rate": 1.4328248113495046e-06,
2375
+ "loss": 0.346,
2376
+ "step": 3380
2377
+ },
2378
+ {
2379
+ "epoch": 0.8475,
2380
+ "grad_norm": 0.94921875,
2381
+ "learning_rate": 1.3881407836199446e-06,
2382
+ "loss": 0.3821,
2383
+ "step": 3390
2384
+ },
2385
+ {
2386
+ "epoch": 0.85,
2387
+ "grad_norm": 0.94921875,
2388
+ "learning_rate": 1.3441125823118816e-06,
2389
+ "loss": 0.2695,
2390
+ "step": 3400
2391
+ },
2392
+ {
2393
+ "epoch": 0.8525,
2394
+ "grad_norm": 0.76171875,
2395
+ "learning_rate": 1.3007435603433039e-06,
2396
+ "loss": 0.2464,
2397
+ "step": 3410
2398
+ },
2399
+ {
2400
+ "epoch": 0.855,
2401
+ "grad_norm": 1.25,
2402
+ "learning_rate": 1.2580370204331482e-06,
2403
+ "loss": 0.3642,
2404
+ "step": 3420
2405
+ },
2406
+ {
2407
+ "epoch": 0.8575,
2408
+ "grad_norm": 1.078125,
2409
+ "learning_rate": 1.2159962148497728e-06,
2410
+ "loss": 0.2713,
2411
+ "step": 3430
2412
+ },
2413
+ {
2414
+ "epoch": 0.86,
2415
+ "grad_norm": 2.265625,
2416
+ "learning_rate": 1.17462434516329e-06,
2417
+ "loss": 0.3093,
2418
+ "step": 3440
2419
+ },
2420
+ {
2421
+ "epoch": 0.8625,
2422
+ "grad_norm": 1.375,
2423
+ "learning_rate": 1.1339245620017525e-06,
2424
+ "loss": 0.3128,
2425
+ "step": 3450
2426
+ },
2427
+ {
2428
+ "epoch": 0.865,
2429
+ "grad_norm": 0.71484375,
2430
+ "learning_rate": 1.093899964811227e-06,
2431
+ "loss": 0.3107,
2432
+ "step": 3460
2433
+ },
2434
+ {
2435
+ "epoch": 0.8675,
2436
+ "grad_norm": 1.09375,
2437
+ "learning_rate": 1.05455360161975e-06,
2438
+ "loss": 0.3218,
2439
+ "step": 3470
2440
+ },
2441
+ {
2442
+ "epoch": 0.87,
2443
+ "grad_norm": 0.765625,
2444
+ "learning_rate": 1.0158884688052107e-06,
2445
+ "loss": 0.305,
2446
+ "step": 3480
2447
+ },
2448
+ {
2449
+ "epoch": 0.8725,
2450
+ "grad_norm": 1.1328125,
2451
+ "learning_rate": 9.779075108671766e-07,
2452
+ "loss": 0.3267,
2453
+ "step": 3490
2454
+ },
2455
+ {
2456
+ "epoch": 0.875,
2457
+ "grad_norm": 0.859375,
2458
+ "learning_rate": 9.406136202026417e-07,
2459
+ "loss": 0.3102,
2460
+ "step": 3500
2461
+ },
2462
+ {
2463
+ "epoch": 0.8775,
2464
+ "grad_norm": 0.82421875,
2465
+ "learning_rate": 9.040096368857676e-07,
2466
+ "loss": 0.2912,
2467
+ "step": 3510
2468
+ },
2469
+ {
2470
+ "epoch": 0.88,
2471
+ "grad_norm": 0.796875,
2472
+ "learning_rate": 8.680983484516048e-07,
2473
+ "loss": 0.3053,
2474
+ "step": 3520
2475
+ },
2476
+ {
2477
+ "epoch": 0.8825,
2478
+ "grad_norm": 1.03125,
2479
+ "learning_rate": 8.328824896838006e-07,
2480
+ "loss": 0.3887,
2481
+ "step": 3530
2482
+ },
2483
+ {
2484
+ "epoch": 0.885,
2485
+ "grad_norm": 1.21875,
2486
+ "learning_rate": 7.983647424063468e-07,
2487
+ "loss": 0.2812,
2488
+ "step": 3540
2489
+ },
2490
+ {
2491
+ "epoch": 0.8875,
2492
+ "grad_norm": 1.734375,
2493
+ "learning_rate": 7.645477352793362e-07,
2494
+ "loss": 0.3466,
2495
+ "step": 3550
2496
+ },
2497
+ {
2498
+ "epoch": 0.89,
2499
+ "grad_norm": 0.65625,
2500
+ "learning_rate": 7.314340435987921e-07,
2501
+ "loss": 0.3047,
2502
+ "step": 3560
2503
+ },
2504
+ {
2505
+ "epoch": 0.8925,
2506
+ "grad_norm": 1.15625,
2507
+ "learning_rate": 6.990261891005401e-07,
2508
+ "loss": 0.2794,
2509
+ "step": 3570
2510
+ },
2511
+ {
2512
+ "epoch": 0.895,
2513
+ "grad_norm": 1.078125,
2514
+ "learning_rate": 6.673266397681732e-07,
2515
+ "loss": 0.3113,
2516
+ "step": 3580
2517
+ },
2518
+ {
2519
+ "epoch": 0.8975,
2520
+ "grad_norm": 1.140625,
2521
+ "learning_rate": 6.363378096451011e-07,
2522
+ "loss": 0.3382,
2523
+ "step": 3590
2524
+ },
2525
+ {
2526
+ "epoch": 0.9,
2527
+ "grad_norm": 0.75390625,
2528
+ "learning_rate": 6.060620586507183e-07,
2529
+ "loss": 0.3532,
2530
+ "step": 3600
2531
+ },
2532
+ {
2533
+ "epoch": 0.9025,
2534
+ "grad_norm": 0.83203125,
2535
+ "learning_rate": 5.765016924006784e-07,
2536
+ "loss": 0.2938,
2537
+ "step": 3610
2538
+ },
2539
+ {
2540
+ "epoch": 0.905,
2541
+ "grad_norm": 1.765625,
2542
+ "learning_rate": 5.476589620313189e-07,
2543
+ "loss": 0.4033,
2544
+ "step": 3620
2545
+ },
2546
+ {
2547
+ "epoch": 0.9075,
2548
+ "grad_norm": 0.90234375,
2549
+ "learning_rate": 5.195360640282254e-07,
2550
+ "loss": 0.2729,
2551
+ "step": 3630
2552
+ },
2553
+ {
2554
+ "epoch": 0.91,
2555
+ "grad_norm": 1.140625,
2556
+ "learning_rate": 4.92135140058967e-07,
2557
+ "loss": 0.3239,
2558
+ "step": 3640
2559
+ },
2560
+ {
2561
+ "epoch": 0.9125,
2562
+ "grad_norm": 1.390625,
2563
+ "learning_rate": 4.65458276809988e-07,
2564
+ "loss": 0.3104,
2565
+ "step": 3650
2566
+ },
2567
+ {
2568
+ "epoch": 0.915,
2569
+ "grad_norm": 1.2890625,
2570
+ "learning_rate": 4.3950750582770985e-07,
2571
+ "loss": 0.2882,
2572
+ "step": 3660
2573
+ },
2574
+ {
2575
+ "epoch": 0.9175,
2576
+ "grad_norm": 1.0625,
2577
+ "learning_rate": 4.142848033638136e-07,
2578
+ "loss": 0.3497,
2579
+ "step": 3670
2580
+ },
2581
+ {
2582
+ "epoch": 0.92,
2583
+ "grad_norm": 0.82421875,
2584
+ "learning_rate": 3.897920902247465e-07,
2585
+ "loss": 0.3161,
2586
+ "step": 3680
2587
+ },
2588
+ {
2589
+ "epoch": 0.9225,
2590
+ "grad_norm": 0.875,
2591
+ "learning_rate": 3.6603123162544216e-07,
2592
+ "loss": 0.321,
2593
+ "step": 3690
2594
+ },
2595
+ {
2596
+ "epoch": 0.925,
2597
+ "grad_norm": 1.0390625,
2598
+ "learning_rate": 3.4300403704727536e-07,
2599
+ "loss": 0.3223,
2600
+ "step": 3700
2601
+ },
2602
+ {
2603
+ "epoch": 0.9275,
2604
+ "grad_norm": 1.671875,
2605
+ "learning_rate": 3.207122601002677e-07,
2606
+ "loss": 0.2827,
2607
+ "step": 3710
2608
+ },
2609
+ {
2610
+ "epoch": 0.93,
2611
+ "grad_norm": 1.09375,
2612
+ "learning_rate": 2.991575983895401e-07,
2613
+ "loss": 0.3205,
2614
+ "step": 3720
2615
+ },
2616
+ {
2617
+ "epoch": 0.9325,
2618
+ "grad_norm": 0.76953125,
2619
+ "learning_rate": 2.783416933860339e-07,
2620
+ "loss": 0.3041,
2621
+ "step": 3730
2622
+ },
2623
+ {
2624
+ "epoch": 0.935,
2625
+ "grad_norm": 0.99609375,
2626
+ "learning_rate": 2.582661303015066e-07,
2627
+ "loss": 0.2662,
2628
+ "step": 3740
2629
+ },
2630
+ {
2631
+ "epoch": 0.9375,
2632
+ "grad_norm": 1.3125,
2633
+ "learning_rate": 2.3893243796781374e-07,
2634
+ "loss": 0.4162,
2635
+ "step": 3750
2636
+ },
2637
+ {
2638
+ "epoch": 0.94,
2639
+ "grad_norm": 1.03125,
2640
+ "learning_rate": 2.203420887204788e-07,
2641
+ "loss": 0.3502,
2642
+ "step": 3760
2643
+ },
2644
+ {
2645
+ "epoch": 0.9425,
2646
+ "grad_norm": 1.078125,
2647
+ "learning_rate": 2.0249649828657292e-07,
2648
+ "loss": 0.3644,
2649
+ "step": 3770
2650
+ },
2651
+ {
2652
+ "epoch": 0.945,
2653
+ "grad_norm": 0.8828125,
2654
+ "learning_rate": 1.8539702567689888e-07,
2655
+ "loss": 0.2687,
2656
+ "step": 3780
2657
+ },
2658
+ {
2659
+ "epoch": 0.9475,
2660
+ "grad_norm": 0.9140625,
2661
+ "learning_rate": 1.6904497308250056e-07,
2662
+ "loss": 0.2886,
2663
+ "step": 3790
2664
+ },
2665
+ {
2666
+ "epoch": 0.95,
2667
+ "grad_norm": 1.1484375,
2668
+ "learning_rate": 1.534415857754923e-07,
2669
+ "loss": 0.3276,
2670
+ "step": 3800
2671
+ },
2672
+ {
2673
+ "epoch": 0.9525,
2674
+ "grad_norm": 0.9296875,
2675
+ "learning_rate": 1.3858805201422798e-07,
2676
+ "loss": 0.3261,
2677
+ "step": 3810
2678
+ },
2679
+ {
2680
+ "epoch": 0.955,
2681
+ "grad_norm": 0.7890625,
2682
+ "learning_rate": 1.2448550295281136e-07,
2683
+ "loss": 0.291,
2684
+ "step": 3820
2685
+ },
2686
+ {
2687
+ "epoch": 0.9575,
2688
+ "grad_norm": 0.90625,
2689
+ "learning_rate": 1.1113501255495485e-07,
2690
+ "loss": 0.286,
2691
+ "step": 3830
2692
+ },
2693
+ {
2694
+ "epoch": 0.96,
2695
+ "grad_norm": 0.91015625,
2696
+ "learning_rate": 9.853759751218828e-08,
2697
+ "loss": 0.3028,
2698
+ "step": 3840
2699
+ },
2700
+ {
2701
+ "epoch": 0.9625,
2702
+ "grad_norm": 0.9375,
2703
+ "learning_rate": 8.66942171664431e-08,
2704
+ "loss": 0.3086,
2705
+ "step": 3850
2706
+ },
2707
+ {
2708
+ "epoch": 0.965,
2709
+ "grad_norm": 1.046875,
2710
+ "learning_rate": 7.560577343698306e-08,
2711
+ "loss": 0.2936,
2712
+ "step": 3860
2713
+ },
2714
+ {
2715
+ "epoch": 0.9675,
2716
+ "grad_norm": 0.9296875,
2717
+ "learning_rate": 6.527311075173127e-08,
2718
+ "loss": 0.341,
2719
+ "step": 3870
2720
+ },
2721
+ {
2722
+ "epoch": 0.97,
2723
+ "grad_norm": 1.0625,
2724
+ "learning_rate": 5.5697015982955074e-08,
2725
+ "loss": 0.3251,
2726
+ "step": 3880
2727
+ },
2728
+ {
2729
+ "epoch": 0.9725,
2730
+ "grad_norm": 0.84375,
2731
+ "learning_rate": 4.687821838734618e-08,
2732
+ "loss": 0.3419,
2733
+ "step": 3890
2734
+ },
2735
+ {
2736
+ "epoch": 0.975,
2737
+ "grad_norm": 1.109375,
2738
+ "learning_rate": 3.881738955048398e-08,
2739
+ "loss": 0.3046,
2740
+ "step": 3900
2741
+ },
2742
+ {
2743
+ "epoch": 0.9775,
2744
+ "grad_norm": 0.921875,
2745
+ "learning_rate": 3.1515143335695274e-08,
2746
+ "loss": 0.2928,
2747
+ "step": 3910
2748
+ },
2749
+ {
2750
+ "epoch": 0.98,
2751
+ "grad_norm": 0.8515625,
2752
+ "learning_rate": 2.4972035837299567e-08,
2753
+ "loss": 0.321,
2754
+ "step": 3920
2755
+ },
2756
+ {
2757
+ "epoch": 0.9825,
2758
+ "grad_norm": 1.6796875,
2759
+ "learning_rate": 1.9188565338265073e-08,
2760
+ "loss": 0.3915,
2761
+ "step": 3930
2762
+ },
2763
+ {
2764
+ "epoch": 0.985,
2765
+ "grad_norm": 1.28125,
2766
+ "learning_rate": 1.416517227226355e-08,
2767
+ "loss": 0.3744,
2768
+ "step": 3940
2769
+ },
2770
+ {
2771
+ "epoch": 0.9875,
2772
+ "grad_norm": 1.0625,
2773
+ "learning_rate": 9.902239190124896e-09,
2774
+ "loss": 0.3135,
2775
+ "step": 3950
2776
+ },
2777
+ {
2778
+ "epoch": 0.99,
2779
+ "grad_norm": 1.0390625,
2780
+ "learning_rate": 6.400090730708242e-09,
2781
+ "loss": 0.3257,
2782
+ "step": 3960
2783
+ },
2784
+ {
2785
+ "epoch": 0.9925,
2786
+ "grad_norm": 1.21875,
2787
+ "learning_rate": 3.6589935961772736e-09,
2788
+ "loss": 0.382,
2789
+ "step": 3970
2790
+ },
2791
+ {
2792
+ "epoch": 0.995,
2793
+ "grad_norm": 0.96875,
2794
+ "learning_rate": 1.6791565316920388e-09,
2795
+ "loss": 0.3589,
2796
+ "step": 3980
2797
+ },
2798
+ {
2799
+ "epoch": 0.9975,
2800
+ "grad_norm": 1.0,
2801
+ "learning_rate": 4.6073030951054866e-10,
2802
+ "loss": 0.3394,
2803
+ "step": 3990
2804
+ },
2805
+ {
2806
+ "epoch": 1.0,
2807
+ "grad_norm": 1.078125,
2808
+ "learning_rate": 3.807717505743824e-12,
2809
+ "loss": 0.3043,
2810
+ "step": 4000
2811
+ }
2812
+ ],
2813
+ "logging_steps": 10,
2814
+ "max_steps": 4000,
2815
+ "num_input_tokens_seen": 0,
2816
+ "num_train_epochs": 9223372036854775807,
2817
+ "save_steps": 2000,
2818
+ "stateful_callbacks": {
2819
+ "TrainerControl": {
2820
+ "args": {
2821
+ "should_epoch_stop": false,
2822
+ "should_evaluate": false,
2823
+ "should_log": false,
2824
+ "should_save": true,
2825
+ "should_training_stop": true
2826
+ },
2827
+ "attributes": {}
2828
+ }
2829
+ },
2830
+ "total_flos": 7.546183450886144e+17,
2831
+ "train_batch_size": 12,
2832
+ "trial_name": null,
2833
+ "trial_params": null
2834
+ }
checkpoint-4000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a800295fc140e3564e52e1657b1b68041f26583e3976b0286ca43212b311f516
3
+ size 5368