Deehan1866 commited on
Commit
801a0d4
verified
1 Parent(s): 40ab05a

Training in progress, step 500

Browse files
.gitattributes CHANGED
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ eval_nbest_predictions.json filter=lfs diff=lfs merge=lfs -text
37
+ predict_nbest_predictions.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ base_model: Deehan1866/MPS-deberta-v3-base
4
+ tags:
5
+ - generated_from_trainer
6
+ datasets:
7
+ - PiC/phrase_retrieval
8
+ model-index:
9
+ - name: finetuned
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # finetuned
17
+
18
+ This model is a fine-tuned version of [Deehan1866/MPS-deberta-v3-base](https://huggingface.co/Deehan1866/MPS-deberta-v3-base) on the PiC/phrase_retrieval PR-pass dataset.
19
+
20
+ ## Model description
21
+
22
+ More information needed
23
+
24
+ ## Intended uses & limitations
25
+
26
+ More information needed
27
+
28
+ ## Training and evaluation data
29
+
30
+ More information needed
31
+
32
+ ## Training procedure
33
+
34
+ ### Training hyperparameters
35
+
36
+ The following hyperparameters were used during training:
37
+ - learning_rate: 3e-05
38
+ - train_batch_size: 8
39
+ - eval_batch_size: 8
40
+ - seed: 42
41
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
+ - lr_scheduler_type: linear
43
+ - num_epochs: 2.0
44
+
45
+ ### Training results
46
+
47
+
48
+
49
+ ### Framework versions
50
+
51
+ - Transformers 4.41.2
52
+ - Pytorch 2.2.1+cu121
53
+ - Datasets 2.20.0
54
+ - Tokenizers 0.19.1
added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "[MASK]": 128000
3
+ }
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.0,
3
+ "eval_exact_match": 95.06666666666666,
4
+ "eval_f1": 96.62021164021165,
5
+ "eval_samples": 3010,
6
+ "predict_samples": 5023,
7
+ "test_exact_match": 95.52,
8
+ "test_f1": 96.68591635610768,
9
+ "total_flos": 1.0570689882918912e+16,
10
+ "train_loss": 0.2199482326217205,
11
+ "train_runtime": 8561.1575,
12
+ "train_samples": 20227,
13
+ "train_samples_per_second": 4.725,
14
+ "train_steps_per_second": 0.591
15
+ }
config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "Deehan1866/MPS-electra-large",
3
+ "architectures": [
4
+ "ElectraForQuestionAnswering"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "embedding_size": 1024,
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.1,
11
+ "hidden_size": 1024,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 4096,
14
+ "layer_norm_eps": 1e-12,
15
+ "max_position_embeddings": 512,
16
+ "model_type": "electra",
17
+ "num_attention_heads": 16,
18
+ "num_hidden_layers": 24,
19
+ "pad_token_id": 0,
20
+ "position_embedding_type": "absolute",
21
+ "summary_activation": "gelu",
22
+ "summary_last_dropout": 0.1,
23
+ "summary_type": "first",
24
+ "summary_use_proj": true,
25
+ "torch_dtype": "float32",
26
+ "transformers_version": "4.41.2",
27
+ "type_vocab_size": 2,
28
+ "use_cache": true,
29
+ "vocab_size": 30522
30
+ }
eval_nbest_predictions.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:53b1c2f288c6537326a542cb10075c6ad46f59b333c86733f14b834038440bcd
3
+ size 18638171
eval_predictions.json ADDED
The diff for this file is too large to render. See raw diff
 
eval_results.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.0,
3
+ "eval_exact_match": 95.06666666666666,
4
+ "eval_f1": 96.62021164021165,
5
+ "eval_samples": 3010
6
+ }
finetune_logs.txt ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 06/28/2024 08:05:50 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 1distributed training: True, 16-bits training: False
2
+ {'loss': 1.6243, 'grad_norm': 56.679527282714844, 'learning_rate': 2.9407816818002367e-05, 'epoch': 0.04}
3
+ {'eval_exact_match': 84.93333333333334, 'eval_f1': 88.2940084870136, 'epoch': 0.04}
4
+ {'loss': 0.6191, 'grad_norm': 5.885100841522217, 'learning_rate': 2.8815633636004737e-05, 'epoch': 0.08}
5
+ {'eval_exact_match': 88.6, 'eval_f1': 91.63917534901744, 'epoch': 0.08}
6
+ {'loss': 0.4602, 'grad_norm': 26.811798095703125, 'learning_rate': 2.8223450454007107e-05, 'epoch': 0.12}
7
+ {'eval_exact_match': 90.93333333333334, 'eval_f1': 93.10548046289217, 'epoch': 0.12}
8
+ {'loss': 0.4923, 'grad_norm': 30.7504825592041, 'learning_rate': 2.7631267272009477e-05, 'epoch': 0.16}
9
+ {'eval_exact_match': 90.63333333333334, 'eval_f1': 92.85661375661373, 'epoch': 0.16}
10
+ {'loss': 0.4052, 'grad_norm': 3.8463761806488037, 'learning_rate': 2.7039084090011843e-05, 'epoch': 0.2}
11
+ {'eval_exact_match': 90.7, 'eval_f1': 93.16844432942258, 'epoch': 0.2}
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f54471dfee238d35d9b1e479e6f394b44e1d0be49c67d8853d2650875fdc631c
3
+ size 1336425336
predict_nbest_predictions.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9d2b51ff922aad7724e9839cadb223818d27094c49e635e053c2b7df5af79ada
3
+ size 30747731
predict_predictions.json ADDED
The diff for this file is too large to render. See raw diff
 
predict_results.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "predict_samples": 5023,
3
+ "test_exact_match": 95.52,
4
+ "test_f1": 96.68591635610768
5
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": {
3
+ "content": "[CLS]",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "mask_token": {
10
+ "content": "[MASK]",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "[PAD]",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "sep_token": {
24
+ "content": "[SEP]",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "unk_token": {
31
+ "content": "[UNK]",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ }
37
+ }
spm.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
3
+ size 2464616
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,62 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[PAD]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "100": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "101": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "102": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "103": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "clean_up_tokenization_spaces": true,
45
+ "cls_token": "[CLS]",
46
+ "do_lower_case": true,
47
+ "mask_token": "[MASK]",
48
+ "max_length": 512,
49
+ "model_max_length": 512,
50
+ "pad_to_multiple_of": null,
51
+ "pad_token": "[PAD]",
52
+ "pad_token_type_id": 0,
53
+ "padding_side": "right",
54
+ "sep_token": "[SEP]",
55
+ "stride": 128,
56
+ "strip_accents": null,
57
+ "tokenize_chinese_chars": true,
58
+ "tokenizer_class": "ElectraTokenizer",
59
+ "truncation_side": "right",
60
+ "truncation_strategy": "only_second",
61
+ "unk_token": "[UNK]"
62
+ }
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.0,
3
+ "total_flos": 1.0570689882918912e+16,
4
+ "train_loss": 0.2199482326217205,
5
+ "train_runtime": 8561.1575,
6
+ "train_samples": 20227,
7
+ "train_samples_per_second": 4.725,
8
+ "train_steps_per_second": 0.591
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,692 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 95.06666666666666,
3
+ "best_model_checkpoint": "../results/phrase_retrieval/PR-pass/qa/mpsDistillbert/finetuned/checkpoint-5000",
4
+ "epoch": 2.0,
5
+ "eval_steps": 100,
6
+ "global_step": 5058,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.039541320680110716,
13
+ "grad_norm": 32.419464111328125,
14
+ "learning_rate": 2.940688018979834e-05,
15
+ "loss": 1.1173,
16
+ "step": 100
17
+ },
18
+ {
19
+ "epoch": 0.039541320680110716,
20
+ "eval_exact_match": 88.9,
21
+ "eval_f1": 92.00500921000344,
22
+ "step": 100
23
+ },
24
+ {
25
+ "epoch": 0.07908264136022143,
26
+ "grad_norm": 38.01858139038086,
27
+ "learning_rate": 2.881376037959668e-05,
28
+ "loss": 0.4822,
29
+ "step": 200
30
+ },
31
+ {
32
+ "epoch": 0.07908264136022143,
33
+ "eval_exact_match": 90.46666666666667,
34
+ "eval_f1": 93.36957595798556,
35
+ "step": 200
36
+ },
37
+ {
38
+ "epoch": 0.11862396204033215,
39
+ "grad_norm": 21.57156753540039,
40
+ "learning_rate": 2.8220640569395017e-05,
41
+ "loss": 0.4056,
42
+ "step": 300
43
+ },
44
+ {
45
+ "epoch": 0.11862396204033215,
46
+ "eval_exact_match": 90.16666666666667,
47
+ "eval_f1": 93.14274423334948,
48
+ "step": 300
49
+ },
50
+ {
51
+ "epoch": 0.15816528272044286,
52
+ "grad_norm": 36.502201080322266,
53
+ "learning_rate": 2.7627520759193358e-05,
54
+ "loss": 0.358,
55
+ "step": 400
56
+ },
57
+ {
58
+ "epoch": 0.15816528272044286,
59
+ "eval_exact_match": 92.0,
60
+ "eval_f1": 94.2940064808486,
61
+ "step": 400
62
+ },
63
+ {
64
+ "epoch": 0.19770660340055357,
65
+ "grad_norm": 1.437743902206421,
66
+ "learning_rate": 2.7034400948991696e-05,
67
+ "loss": 0.3401,
68
+ "step": 500
69
+ },
70
+ {
71
+ "epoch": 0.19770660340055357,
72
+ "eval_exact_match": 92.86666666666666,
73
+ "eval_f1": 94.86057314225737,
74
+ "step": 500
75
+ },
76
+ {
77
+ "epoch": 0.2372479240806643,
78
+ "grad_norm": 16.85663604736328,
79
+ "learning_rate": 2.6441281138790037e-05,
80
+ "loss": 0.3348,
81
+ "step": 600
82
+ },
83
+ {
84
+ "epoch": 0.2372479240806643,
85
+ "eval_exact_match": 92.4,
86
+ "eval_f1": 94.57701014385223,
87
+ "step": 600
88
+ },
89
+ {
90
+ "epoch": 0.276789244760775,
91
+ "grad_norm": 9.705633163452148,
92
+ "learning_rate": 2.5848161328588377e-05,
93
+ "loss": 0.3603,
94
+ "step": 700
95
+ },
96
+ {
97
+ "epoch": 0.276789244760775,
98
+ "eval_exact_match": 92.53333333333333,
99
+ "eval_f1": 94.58231913116124,
100
+ "step": 700
101
+ },
102
+ {
103
+ "epoch": 0.3163305654408857,
104
+ "grad_norm": 1.5076546669006348,
105
+ "learning_rate": 2.5255041518386715e-05,
106
+ "loss": 0.4025,
107
+ "step": 800
108
+ },
109
+ {
110
+ "epoch": 0.3163305654408857,
111
+ "eval_exact_match": 92.8,
112
+ "eval_f1": 94.98821979190402,
113
+ "step": 800
114
+ },
115
+ {
116
+ "epoch": 0.35587188612099646,
117
+ "grad_norm": 5.4361114501953125,
118
+ "learning_rate": 2.4661921708185056e-05,
119
+ "loss": 0.3396,
120
+ "step": 900
121
+ },
122
+ {
123
+ "epoch": 0.35587188612099646,
124
+ "eval_exact_match": 93.03333333333333,
125
+ "eval_f1": 95.06740036365424,
126
+ "step": 900
127
+ },
128
+ {
129
+ "epoch": 0.39541320680110714,
130
+ "grad_norm": 24.144868850708008,
131
+ "learning_rate": 2.4068801897983394e-05,
132
+ "loss": 0.3728,
133
+ "step": 1000
134
+ },
135
+ {
136
+ "epoch": 0.39541320680110714,
137
+ "eval_exact_match": 92.03333333333333,
138
+ "eval_f1": 94.552540715535,
139
+ "step": 1000
140
+ },
141
+ {
142
+ "epoch": 0.4349545274812179,
143
+ "grad_norm": 40.113285064697266,
144
+ "learning_rate": 2.347568208778173e-05,
145
+ "loss": 0.2901,
146
+ "step": 1100
147
+ },
148
+ {
149
+ "epoch": 0.4349545274812179,
150
+ "eval_exact_match": 92.96666666666667,
151
+ "eval_f1": 95.07719921785143,
152
+ "step": 1100
153
+ },
154
+ {
155
+ "epoch": 0.4744958481613286,
156
+ "grad_norm": 27.42624855041504,
157
+ "learning_rate": 2.2882562277580072e-05,
158
+ "loss": 0.2807,
159
+ "step": 1200
160
+ },
161
+ {
162
+ "epoch": 0.4744958481613286,
163
+ "eval_exact_match": 93.3,
164
+ "eval_f1": 95.3500069013113,
165
+ "step": 1200
166
+ },
167
+ {
168
+ "epoch": 0.5140371688414394,
169
+ "grad_norm": 23.65859603881836,
170
+ "learning_rate": 2.228944246737841e-05,
171
+ "loss": 0.2644,
172
+ "step": 1300
173
+ },
174
+ {
175
+ "epoch": 0.5140371688414394,
176
+ "eval_exact_match": 93.2,
177
+ "eval_f1": 95.05281627432659,
178
+ "step": 1300
179
+ },
180
+ {
181
+ "epoch": 0.55357848952155,
182
+ "grad_norm": 4.855496883392334,
183
+ "learning_rate": 2.169632265717675e-05,
184
+ "loss": 0.2762,
185
+ "step": 1400
186
+ },
187
+ {
188
+ "epoch": 0.55357848952155,
189
+ "eval_exact_match": 93.3,
190
+ "eval_f1": 95.443781890624,
191
+ "step": 1400
192
+ },
193
+ {
194
+ "epoch": 0.5931198102016607,
195
+ "grad_norm": 0.48628461360931396,
196
+ "learning_rate": 2.110320284697509e-05,
197
+ "loss": 0.319,
198
+ "step": 1500
199
+ },
200
+ {
201
+ "epoch": 0.5931198102016607,
202
+ "eval_exact_match": 92.73333333333333,
203
+ "eval_f1": 94.94519559768989,
204
+ "step": 1500
205
+ },
206
+ {
207
+ "epoch": 0.6326611308817714,
208
+ "grad_norm": 0.08743516355752945,
209
+ "learning_rate": 2.0510083036773426e-05,
210
+ "loss": 0.2958,
211
+ "step": 1600
212
+ },
213
+ {
214
+ "epoch": 0.6326611308817714,
215
+ "eval_exact_match": 93.96666666666667,
216
+ "eval_f1": 95.78775828460041,
217
+ "step": 1600
218
+ },
219
+ {
220
+ "epoch": 0.6722024515618822,
221
+ "grad_norm": 1.8978503942489624,
222
+ "learning_rate": 1.991696322657177e-05,
223
+ "loss": 0.2201,
224
+ "step": 1700
225
+ },
226
+ {
227
+ "epoch": 0.6722024515618822,
228
+ "eval_exact_match": 93.5,
229
+ "eval_f1": 95.3272486772487,
230
+ "step": 1700
231
+ },
232
+ {
233
+ "epoch": 0.7117437722419929,
234
+ "grad_norm": 25.710737228393555,
235
+ "learning_rate": 1.9323843416370108e-05,
236
+ "loss": 0.2944,
237
+ "step": 1800
238
+ },
239
+ {
240
+ "epoch": 0.7117437722419929,
241
+ "eval_exact_match": 93.4,
242
+ "eval_f1": 95.32006332255762,
243
+ "step": 1800
244
+ },
245
+ {
246
+ "epoch": 0.7512850929221035,
247
+ "grad_norm": 13.707782745361328,
248
+ "learning_rate": 1.8730723606168446e-05,
249
+ "loss": 0.2914,
250
+ "step": 1900
251
+ },
252
+ {
253
+ "epoch": 0.7512850929221035,
254
+ "eval_exact_match": 93.66666666666667,
255
+ "eval_f1": 95.52821693121696,
256
+ "step": 1900
257
+ },
258
+ {
259
+ "epoch": 0.7908264136022143,
260
+ "grad_norm": 17.373273849487305,
261
+ "learning_rate": 1.8137603795966787e-05,
262
+ "loss": 0.3082,
263
+ "step": 2000
264
+ },
265
+ {
266
+ "epoch": 0.7908264136022143,
267
+ "eval_exact_match": 94.26666666666667,
268
+ "eval_f1": 95.87325744917855,
269
+ "step": 2000
270
+ },
271
+ {
272
+ "epoch": 0.830367734282325,
273
+ "grad_norm": 33.38816452026367,
274
+ "learning_rate": 1.7544483985765124e-05,
275
+ "loss": 0.3397,
276
+ "step": 2100
277
+ },
278
+ {
279
+ "epoch": 0.830367734282325,
280
+ "eval_exact_match": 93.83333333333333,
281
+ "eval_f1": 95.52239766081871,
282
+ "step": 2100
283
+ },
284
+ {
285
+ "epoch": 0.8699090549624358,
286
+ "grad_norm": 15.071436882019043,
287
+ "learning_rate": 1.6951364175563465e-05,
288
+ "loss": 0.2203,
289
+ "step": 2200
290
+ },
291
+ {
292
+ "epoch": 0.8699090549624358,
293
+ "eval_exact_match": 94.33333333333333,
294
+ "eval_f1": 96.01175299359508,
295
+ "step": 2200
296
+ },
297
+ {
298
+ "epoch": 0.9094503756425465,
299
+ "grad_norm": 11.337410926818848,
300
+ "learning_rate": 1.6358244365361803e-05,
301
+ "loss": 0.2878,
302
+ "step": 2300
303
+ },
304
+ {
305
+ "epoch": 0.9094503756425465,
306
+ "eval_exact_match": 94.03333333333333,
307
+ "eval_f1": 95.92981481481488,
308
+ "step": 2300
309
+ },
310
+ {
311
+ "epoch": 0.9489916963226572,
312
+ "grad_norm": 22.02410316467285,
313
+ "learning_rate": 1.576512455516014e-05,
314
+ "loss": 0.2298,
315
+ "step": 2400
316
+ },
317
+ {
318
+ "epoch": 0.9489916963226572,
319
+ "eval_exact_match": 94.43333333333334,
320
+ "eval_f1": 96.00666666666666,
321
+ "step": 2400
322
+ },
323
+ {
324
+ "epoch": 0.9885330170027679,
325
+ "grad_norm": 2.3211326599121094,
326
+ "learning_rate": 1.5172004744958481e-05,
327
+ "loss": 0.2519,
328
+ "step": 2500
329
+ },
330
+ {
331
+ "epoch": 0.9885330170027679,
332
+ "eval_exact_match": 94.3,
333
+ "eval_f1": 96.112007936508,
334
+ "step": 2500
335
+ },
336
+ {
337
+ "epoch": 1.0280743376828787,
338
+ "grad_norm": 0.24721509218215942,
339
+ "learning_rate": 1.4578884934756822e-05,
340
+ "loss": 0.2034,
341
+ "step": 2600
342
+ },
343
+ {
344
+ "epoch": 1.0280743376828787,
345
+ "eval_exact_match": 94.06666666666666,
346
+ "eval_f1": 95.96805555555562,
347
+ "step": 2600
348
+ },
349
+ {
350
+ "epoch": 1.0676156583629894,
351
+ "grad_norm": 39.38060760498047,
352
+ "learning_rate": 1.398576512455516e-05,
353
+ "loss": 0.0659,
354
+ "step": 2700
355
+ },
356
+ {
357
+ "epoch": 1.0676156583629894,
358
+ "eval_exact_match": 94.4,
359
+ "eval_f1": 96.04486772486773,
360
+ "step": 2700
361
+ },
362
+ {
363
+ "epoch": 1.1071569790431,
364
+ "grad_norm": 0.01663699932396412,
365
+ "learning_rate": 1.33926453143535e-05,
366
+ "loss": 0.115,
367
+ "step": 2800
368
+ },
369
+ {
370
+ "epoch": 1.1071569790431,
371
+ "eval_exact_match": 94.43333333333334,
372
+ "eval_f1": 96.05476190476192,
373
+ "step": 2800
374
+ },
375
+ {
376
+ "epoch": 1.1466982997232107,
377
+ "grad_norm": 0.09981880336999893,
378
+ "learning_rate": 1.2799525504151838e-05,
379
+ "loss": 0.1044,
380
+ "step": 2900
381
+ },
382
+ {
383
+ "epoch": 1.1466982997232107,
384
+ "eval_exact_match": 94.76666666666667,
385
+ "eval_f1": 96.31523809523814,
386
+ "step": 2900
387
+ },
388
+ {
389
+ "epoch": 1.1862396204033214,
390
+ "grad_norm": 0.0023523815907537937,
391
+ "learning_rate": 1.220640569395018e-05,
392
+ "loss": 0.0681,
393
+ "step": 3000
394
+ },
395
+ {
396
+ "epoch": 1.1862396204033214,
397
+ "eval_exact_match": 94.66666666666667,
398
+ "eval_f1": 96.27746031746034,
399
+ "step": 3000
400
+ },
401
+ {
402
+ "epoch": 1.2257809410834322,
403
+ "grad_norm": 26.123458862304688,
404
+ "learning_rate": 1.1613285883748517e-05,
405
+ "loss": 0.1076,
406
+ "step": 3100
407
+ },
408
+ {
409
+ "epoch": 1.2257809410834322,
410
+ "eval_exact_match": 94.96666666666667,
411
+ "eval_f1": 96.47634920634923,
412
+ "step": 3100
413
+ },
414
+ {
415
+ "epoch": 1.265322261763543,
416
+ "grad_norm": 0.013637016527354717,
417
+ "learning_rate": 1.1020166073546856e-05,
418
+ "loss": 0.1247,
419
+ "step": 3200
420
+ },
421
+ {
422
+ "epoch": 1.265322261763543,
423
+ "eval_exact_match": 94.66666666666667,
424
+ "eval_f1": 96.31714285714288,
425
+ "step": 3200
426
+ },
427
+ {
428
+ "epoch": 1.3048635824436536,
429
+ "grad_norm": 2.1234130859375,
430
+ "learning_rate": 1.0427046263345196e-05,
431
+ "loss": 0.0842,
432
+ "step": 3300
433
+ },
434
+ {
435
+ "epoch": 1.3048635824436536,
436
+ "eval_exact_match": 94.7,
437
+ "eval_f1": 96.37094701326588,
438
+ "step": 3300
439
+ },
440
+ {
441
+ "epoch": 1.3444049031237644,
442
+ "grad_norm": 39.8302116394043,
443
+ "learning_rate": 9.833926453143535e-06,
444
+ "loss": 0.1224,
445
+ "step": 3400
446
+ },
447
+ {
448
+ "epoch": 1.3444049031237644,
449
+ "eval_exact_match": 94.76666666666667,
450
+ "eval_f1": 96.2882029256147,
451
+ "step": 3400
452
+ },
453
+ {
454
+ "epoch": 1.383946223803875,
455
+ "grad_norm": 7.3402276039123535,
456
+ "learning_rate": 9.240806642941876e-06,
457
+ "loss": 0.1114,
458
+ "step": 3500
459
+ },
460
+ {
461
+ "epoch": 1.383946223803875,
462
+ "eval_exact_match": 94.7,
463
+ "eval_f1": 96.41914285714284,
464
+ "step": 3500
465
+ },
466
+ {
467
+ "epoch": 1.4234875444839858,
468
+ "grad_norm": 4.552010536193848,
469
+ "learning_rate": 8.647686832740214e-06,
470
+ "loss": 0.1399,
471
+ "step": 3600
472
+ },
473
+ {
474
+ "epoch": 1.4234875444839858,
475
+ "eval_exact_match": 94.73333333333333,
476
+ "eval_f1": 96.3720634920635,
477
+ "step": 3600
478
+ },
479
+ {
480
+ "epoch": 1.4630288651640964,
481
+ "grad_norm": 0.007382615935057402,
482
+ "learning_rate": 8.054567022538553e-06,
483
+ "loss": 0.0945,
484
+ "step": 3700
485
+ },
486
+ {
487
+ "epoch": 1.4630288651640964,
488
+ "eval_exact_match": 95.0,
489
+ "eval_f1": 96.56682539682542,
490
+ "step": 3700
491
+ },
492
+ {
493
+ "epoch": 1.502570185844207,
494
+ "grad_norm": 0.00287560629658401,
495
+ "learning_rate": 7.461447212336892e-06,
496
+ "loss": 0.1174,
497
+ "step": 3800
498
+ },
499
+ {
500
+ "epoch": 1.502570185844207,
501
+ "eval_exact_match": 94.8,
502
+ "eval_f1": 96.46809523809524,
503
+ "step": 3800
504
+ },
505
+ {
506
+ "epoch": 1.5421115065243178,
507
+ "grad_norm": 0.0006353872595354915,
508
+ "learning_rate": 6.868327402135232e-06,
509
+ "loss": 0.0947,
510
+ "step": 3900
511
+ },
512
+ {
513
+ "epoch": 1.5421115065243178,
514
+ "eval_exact_match": 94.66666666666667,
515
+ "eval_f1": 96.41693121693125,
516
+ "step": 3900
517
+ },
518
+ {
519
+ "epoch": 1.5816528272044286,
520
+ "grad_norm": 0.004277556203305721,
521
+ "learning_rate": 6.275207591933571e-06,
522
+ "loss": 0.0776,
523
+ "step": 4000
524
+ },
525
+ {
526
+ "epoch": 1.5816528272044286,
527
+ "eval_exact_match": 94.7,
528
+ "eval_f1": 96.44280423280426,
529
+ "step": 4000
530
+ },
531
+ {
532
+ "epoch": 1.6211941478845393,
533
+ "grad_norm": 0.0010521839139983058,
534
+ "learning_rate": 5.68208778173191e-06,
535
+ "loss": 0.0562,
536
+ "step": 4100
537
+ },
538
+ {
539
+ "epoch": 1.6211941478845393,
540
+ "eval_exact_match": 94.8,
541
+ "eval_f1": 96.48777777777781,
542
+ "step": 4100
543
+ },
544
+ {
545
+ "epoch": 1.66073546856465,
546
+ "grad_norm": 0.003965400159358978,
547
+ "learning_rate": 5.088967971530249e-06,
548
+ "loss": 0.0486,
549
+ "step": 4200
550
+ },
551
+ {
552
+ "epoch": 1.66073546856465,
553
+ "eval_exact_match": 94.96666666666667,
554
+ "eval_f1": 96.60613756613758,
555
+ "step": 4200
556
+ },
557
+ {
558
+ "epoch": 1.7002767892447608,
559
+ "grad_norm": 0.01875113882124424,
560
+ "learning_rate": 4.4958481613285886e-06,
561
+ "loss": 0.0986,
562
+ "step": 4300
563
+ },
564
+ {
565
+ "epoch": 1.7002767892447608,
566
+ "eval_exact_match": 95.13333333333334,
567
+ "eval_f1": 96.63917107583777,
568
+ "step": 4300
569
+ },
570
+ {
571
+ "epoch": 1.7398181099248715,
572
+ "grad_norm": 0.0012825974263250828,
573
+ "learning_rate": 3.902728351126927e-06,
574
+ "loss": 0.0939,
575
+ "step": 4400
576
+ },
577
+ {
578
+ "epoch": 1.7398181099248715,
579
+ "eval_exact_match": 94.96666666666667,
580
+ "eval_f1": 96.58159211159214,
581
+ "step": 4400
582
+ },
583
+ {
584
+ "epoch": 1.7793594306049823,
585
+ "grad_norm": 0.0024573770351707935,
586
+ "learning_rate": 3.309608540925267e-06,
587
+ "loss": 0.1167,
588
+ "step": 4500
589
+ },
590
+ {
591
+ "epoch": 1.7793594306049823,
592
+ "eval_exact_match": 94.96666666666667,
593
+ "eval_f1": 96.53317460317461,
594
+ "step": 4500
595
+ },
596
+ {
597
+ "epoch": 1.818900751285093,
598
+ "grad_norm": 19.585935592651367,
599
+ "learning_rate": 2.716488730723606e-06,
600
+ "loss": 0.0826,
601
+ "step": 4600
602
+ },
603
+ {
604
+ "epoch": 1.818900751285093,
605
+ "eval_exact_match": 95.16666666666667,
606
+ "eval_f1": 96.64805477746657,
607
+ "step": 4600
608
+ },
609
+ {
610
+ "epoch": 1.8584420719652037,
611
+ "grad_norm": 14.24262809753418,
612
+ "learning_rate": 2.1233689205219453e-06,
613
+ "loss": 0.0627,
614
+ "step": 4700
615
+ },
616
+ {
617
+ "epoch": 1.8584420719652037,
618
+ "eval_exact_match": 94.96666666666667,
619
+ "eval_f1": 96.53842514783693,
620
+ "step": 4700
621
+ },
622
+ {
623
+ "epoch": 1.8979833926453145,
624
+ "grad_norm": 0.12388183176517487,
625
+ "learning_rate": 1.5302491103202848e-06,
626
+ "loss": 0.0648,
627
+ "step": 4800
628
+ },
629
+ {
630
+ "epoch": 1.8979833926453145,
631
+ "eval_exact_match": 95.0,
632
+ "eval_f1": 96.60842514783693,
633
+ "step": 4800
634
+ },
635
+ {
636
+ "epoch": 1.9375247133254252,
637
+ "grad_norm": 0.0012477992568165064,
638
+ "learning_rate": 9.37129300118624e-07,
639
+ "loss": 0.0704,
640
+ "step": 4900
641
+ },
642
+ {
643
+ "epoch": 1.9375247133254252,
644
+ "eval_exact_match": 95.03333333333333,
645
+ "eval_f1": 96.65851851851853,
646
+ "step": 4900
647
+ },
648
+ {
649
+ "epoch": 1.977066034005536,
650
+ "grad_norm": 0.14640697836875916,
651
+ "learning_rate": 3.4400948991696327e-07,
652
+ "loss": 0.0863,
653
+ "step": 5000
654
+ },
655
+ {
656
+ "epoch": 1.977066034005536,
657
+ "eval_exact_match": 95.06666666666666,
658
+ "eval_f1": 96.62021164021165,
659
+ "step": 5000
660
+ },
661
+ {
662
+ "epoch": 2.0,
663
+ "step": 5058,
664
+ "total_flos": 1.0570689882918912e+16,
665
+ "train_loss": 0.2199482326217205,
666
+ "train_runtime": 8561.1575,
667
+ "train_samples_per_second": 4.725,
668
+ "train_steps_per_second": 0.591
669
+ }
670
+ ],
671
+ "logging_steps": 100,
672
+ "max_steps": 5058,
673
+ "num_input_tokens_seen": 0,
674
+ "num_train_epochs": 2,
675
+ "save_steps": 500,
676
+ "stateful_callbacks": {
677
+ "TrainerControl": {
678
+ "args": {
679
+ "should_epoch_stop": false,
680
+ "should_evaluate": false,
681
+ "should_log": false,
682
+ "should_save": true,
683
+ "should_training_stop": false
684
+ },
685
+ "attributes": {}
686
+ }
687
+ },
688
+ "total_flos": 1.0570689882918912e+16,
689
+ "train_batch_size": 8,
690
+ "trial_name": null,
691
+ "trial_params": null
692
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:70b46dc40ab1ff5a7ac7fb2659c2b39090a3acc33f964878068121afc4f47ab3
3
+ size 5240
vocab.txt ADDED
The diff for this file is too large to render. See raw diff