xiulinyang commited on
Commit
d96e528
·
1 Parent(s): 0b1af1c

Add checkpoint

Browse files
README.md ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ tags:
4
+ - generated_from_trainer
5
+ metrics:
6
+ - accuracy
7
+ model-index:
8
+ - name: DE_42180_41
9
+ results: []
10
+ ---
11
+
12
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
+ should probably proofread and complete it, then remove this comment. -->
14
+
15
+ # DE_42180_41
16
+
17
+ This model was trained from scratch on an unknown dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 4.3944
20
+ - Accuracy: 0.2822
21
+
22
+ ## Model description
23
+
24
+ More information needed
25
+
26
+ ## Intended uses & limitations
27
+
28
+ More information needed
29
+
30
+ ## Training and evaluation data
31
+
32
+ More information needed
33
+
34
+ ## Training procedure
35
+
36
+ ### Training hyperparameters
37
+
38
+ The following hyperparameters were used during training:
39
+ - learning_rate: 0.0006
40
+ - train_batch_size: 32
41
+ - eval_batch_size: 32
42
+ - seed: 41
43
+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
44
+ - lr_scheduler_type: linear
45
+ - lr_scheduler_warmup_steps: 1000
46
+ - num_epochs: 10.0
47
+ - mixed_precision_training: Native AMP
48
+
49
+ ### Training results
50
+
51
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
52
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
53
+ | No log | 1.0 | 872 | 5.6647 | 0.1788 |
54
+ | 1.4046 | 2.0 | 1744 | 5.1683 | 0.2129 |
55
+ | 1.2091 | 3.0 | 2616 | 4.9529 | 0.2289 |
56
+ | 1.1255 | 4.0 | 3488 | 4.8098 | 0.2390 |
57
+ | 1.0815 | 5.0 | 4360 | 4.7006 | 0.2516 |
58
+ | 1.0464 | 6.0 | 5232 | 4.6056 | 0.2593 |
59
+ | 1.0152 | 7.0 | 6104 | 4.5306 | 0.2684 |
60
+ | 1.0152 | 8.0 | 6976 | 4.4713 | 0.2733 |
61
+ | 0.9871 | 9.0 | 7848 | 4.4170 | 0.2794 |
62
+ | 0.9652 | 10.0 | 8720 | 4.3944 | 0.2822 |
63
+
64
+
65
+ ### Framework versions
66
+
67
+ - Transformers 4.51.3
68
+ - Pytorch 2.5.1+cu121
69
+ - Datasets 3.6.0
70
+ - Tokenizers 0.21.1
all_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 10.0,
3
+ "eval_accuracy": 0.28218009755527645,
4
+ "eval_loss": 4.394373416900635,
5
+ "eval_runtime": 4.7826,
6
+ "eval_samples": 201,
7
+ "eval_samples_per_second": 42.027,
8
+ "eval_steps_per_second": 1.464,
9
+ "perplexity": 80.99386547279452,
10
+ "total_flos": 7.289002524672e+16,
11
+ "train_loss": 1.0915990706977494,
12
+ "train_runtime": 9580.1911,
13
+ "train_samples": 27896,
14
+ "train_samples_per_second": 29.118,
15
+ "train_steps_per_second": 0.91
16
+ }
config.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "activation_function": "gelu_new",
3
+ "architectures": [
4
+ "GPT2LMHeadModel"
5
+ ],
6
+ "attn_pdrop": 0.1,
7
+ "bos_token_id": 1,
8
+ "embd_pdrop": 0.1,
9
+ "eos_token_id": 2,
10
+ "initializer_range": 0.02,
11
+ "layer_norm_epsilon": 1e-05,
12
+ "model_type": "gpt2",
13
+ "n_ctx": 1024,
14
+ "n_embd": 768,
15
+ "n_head": 12,
16
+ "n_inner": null,
17
+ "n_layer": 12,
18
+ "n_positions": 512,
19
+ "pad_token_id": 0,
20
+ "prefix": "<|endoftext|>",
21
+ "reorder_and_upcast_attn": false,
22
+ "resid_pdrop": 0.1,
23
+ "scale_attn_by_inverse_layer_idx": false,
24
+ "scale_attn_weights": true,
25
+ "summary_activation": null,
26
+ "summary_first_dropout": 0.1,
27
+ "summary_proj_to_labels": true,
28
+ "summary_type": "cls_index",
29
+ "summary_use_proj": true,
30
+ "task_specific_params": {
31
+ "text-generation": {
32
+ "do_sample": true,
33
+ "max_length": 50
34
+ }
35
+ },
36
+ "torch_dtype": "float32",
37
+ "transformers_version": "4.51.3",
38
+ "use_cache": true,
39
+ "vocab_size": 42180
40
+ }
eval_results.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 10.0,
3
+ "eval_accuracy": 0.28218009755527645,
4
+ "eval_loss": 4.394373416900635,
5
+ "eval_runtime": 4.7826,
6
+ "eval_samples": 201,
7
+ "eval_samples_per_second": 42.027,
8
+ "eval_steps_per_second": 1.464,
9
+ "perplexity": 80.99386547279452
10
+ }
generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "pad_token_id": 0,
6
+ "transformers_version": "4.51.3"
7
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c492e886c7c64e3bd00043029751750228d14cfbab3d0e705d44b236bb6d4197
3
+ size 471388800
special_tokens_map.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "<|endoftext|>",
3
+ "eos_token": "<|endoftext|>",
4
+ "pad_token": "<pad>",
5
+ "unk_token": "<|endoftext|>"
6
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,49 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": true,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<pad>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<|endoftext|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "<s>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "<unk>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ }
36
+ },
37
+ "bos_token": "<|endoftext|>",
38
+ "clean_up_tokenization_spaces": false,
39
+ "eos_token": "<|endoftext|>",
40
+ "extra_special_tokens": {},
41
+ "max_length": null,
42
+ "model_max_length": 1000000000000000019884624838656,
43
+ "pad_to_multiple_of": null,
44
+ "pad_token": "<pad>",
45
+ "pad_token_type_id": 0,
46
+ "padding_side": "right",
47
+ "tokenizer_class": "GPT2Tokenizer",
48
+ "unk_token": "<|endoftext|>"
49
+ }
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 10.0,
3
+ "total_flos": 7.289002524672e+16,
4
+ "train_loss": 1.0915990706977494,
5
+ "train_runtime": 9580.1911,
6
+ "train_samples": 27896,
7
+ "train_samples_per_second": 29.118,
8
+ "train_steps_per_second": 0.91
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,189 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 10.0,
6
+ "eval_steps": 500,
7
+ "global_step": 8720,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 1.0,
14
+ "eval_accuracy": 0.1788318680569754,
15
+ "eval_loss": 5.664701461791992,
16
+ "eval_runtime": 5.5561,
17
+ "eval_samples_per_second": 36.177,
18
+ "eval_steps_per_second": 1.26,
19
+ "step": 872
20
+ },
21
+ {
22
+ "epoch": 1.146788990825688,
23
+ "grad_norm": 12179.96484375,
24
+ "learning_rate": 0.0005993999999999999,
25
+ "loss": 1.4046,
26
+ "step": 1000
27
+ },
28
+ {
29
+ "epoch": 2.0,
30
+ "eval_accuracy": 0.21293727059419146,
31
+ "eval_loss": 5.168335437774658,
32
+ "eval_runtime": 4.9453,
33
+ "eval_samples_per_second": 40.644,
34
+ "eval_steps_per_second": 1.415,
35
+ "step": 1744
36
+ },
37
+ {
38
+ "epoch": 2.293577981651376,
39
+ "grad_norm": 11207.146484375,
40
+ "learning_rate": 0.0005223575129533678,
41
+ "loss": 1.2091,
42
+ "step": 2000
43
+ },
44
+ {
45
+ "epoch": 3.0,
46
+ "eval_accuracy": 0.2289336098373105,
47
+ "eval_loss": 4.952887535095215,
48
+ "eval_runtime": 4.9471,
49
+ "eval_samples_per_second": 40.629,
50
+ "eval_steps_per_second": 1.415,
51
+ "step": 2616
52
+ },
53
+ {
54
+ "epoch": 3.4403669724770642,
55
+ "grad_norm": 10774.6064453125,
56
+ "learning_rate": 0.0004446373056994818,
57
+ "loss": 1.1255,
58
+ "step": 3000
59
+ },
60
+ {
61
+ "epoch": 4.0,
62
+ "eval_accuracy": 0.23901042731547742,
63
+ "eval_loss": 4.809762954711914,
64
+ "eval_runtime": 4.9444,
65
+ "eval_samples_per_second": 40.652,
66
+ "eval_steps_per_second": 1.416,
67
+ "step": 3488
68
+ },
69
+ {
70
+ "epoch": 4.587155963302752,
71
+ "grad_norm": 10522.4833984375,
72
+ "learning_rate": 0.00036691709844559583,
73
+ "loss": 1.0815,
74
+ "step": 4000
75
+ },
76
+ {
77
+ "epoch": 5.0,
78
+ "eval_accuracy": 0.25158941106600075,
79
+ "eval_loss": 4.700604438781738,
80
+ "eval_runtime": 4.9483,
81
+ "eval_samples_per_second": 40.62,
82
+ "eval_steps_per_second": 1.415,
83
+ "step": 4360
84
+ },
85
+ {
86
+ "epoch": 5.73394495412844,
87
+ "grad_norm": 9989.0810546875,
88
+ "learning_rate": 0.0002891968911917098,
89
+ "loss": 1.0464,
90
+ "step": 5000
91
+ },
92
+ {
93
+ "epoch": 6.0,
94
+ "eval_accuracy": 0.25925168677162136,
95
+ "eval_loss": 4.605610370635986,
96
+ "eval_runtime": 4.9476,
97
+ "eval_samples_per_second": 40.626,
98
+ "eval_steps_per_second": 1.415,
99
+ "step": 5232
100
+ },
101
+ {
102
+ "epoch": 6.8807339449541285,
103
+ "grad_norm": 9755.447265625,
104
+ "learning_rate": 0.00021147668393782382,
105
+ "loss": 1.0152,
106
+ "step": 6000
107
+ },
108
+ {
109
+ "epoch": 7.0,
110
+ "eval_accuracy": 0.2683646347518766,
111
+ "eval_loss": 4.530576705932617,
112
+ "eval_runtime": 4.9425,
113
+ "eval_samples_per_second": 40.667,
114
+ "eval_steps_per_second": 1.416,
115
+ "step": 6104
116
+ },
117
+ {
118
+ "epoch": 8.0,
119
+ "eval_accuracy": 0.2732813427967793,
120
+ "eval_loss": 4.471287250518799,
121
+ "eval_runtime": 4.945,
122
+ "eval_samples_per_second": 40.647,
123
+ "eval_steps_per_second": 1.416,
124
+ "step": 6976
125
+ },
126
+ {
127
+ "epoch": 8.027522935779816,
128
+ "grad_norm": 9654.5634765625,
129
+ "learning_rate": 0.0001337564766839378,
130
+ "loss": 0.9871,
131
+ "step": 7000
132
+ },
133
+ {
134
+ "epoch": 9.0,
135
+ "eval_accuracy": 0.2794150577834896,
136
+ "eval_loss": 4.416961669921875,
137
+ "eval_runtime": 4.9455,
138
+ "eval_samples_per_second": 40.643,
139
+ "eval_steps_per_second": 1.415,
140
+ "step": 7848
141
+ },
142
+ {
143
+ "epoch": 9.174311926605505,
144
+ "grad_norm": 9890.5673828125,
145
+ "learning_rate": 5.603626943005181e-05,
146
+ "loss": 0.9652,
147
+ "step": 8000
148
+ },
149
+ {
150
+ "epoch": 10.0,
151
+ "eval_accuracy": 0.28218009755527645,
152
+ "eval_loss": 4.394373416900635,
153
+ "eval_runtime": 4.9589,
154
+ "eval_samples_per_second": 40.534,
155
+ "eval_steps_per_second": 1.412,
156
+ "step": 8720
157
+ },
158
+ {
159
+ "epoch": 10.0,
160
+ "step": 8720,
161
+ "total_flos": 7.289002524672e+16,
162
+ "train_loss": 1.0915990706977494,
163
+ "train_runtime": 9580.1911,
164
+ "train_samples_per_second": 29.118,
165
+ "train_steps_per_second": 0.91
166
+ }
167
+ ],
168
+ "logging_steps": 1000,
169
+ "max_steps": 8720,
170
+ "num_input_tokens_seen": 0,
171
+ "num_train_epochs": 10,
172
+ "save_steps": 500,
173
+ "stateful_callbacks": {
174
+ "TrainerControl": {
175
+ "args": {
176
+ "should_epoch_stop": false,
177
+ "should_evaluate": false,
178
+ "should_log": false,
179
+ "should_save": true,
180
+ "should_training_stop": true
181
+ },
182
+ "attributes": {}
183
+ }
184
+ },
185
+ "total_flos": 7.289002524672e+16,
186
+ "train_batch_size": 32,
187
+ "trial_name": null,
188
+ "trial_params": null
189
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bddf7d487a2c8b32d56d6d41c4ec313fdd0d5f8044a69689fd73a4971529e466
3
+ size 5304
vocab.json ADDED
The diff for this file is too large to render. See raw diff