Upload model and auxiliary files

#3
.gitattributes CHANGED
@@ -33,3 +33,4 @@ 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
all_results.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.0,
3
+ "eval_exact_match": 76.80499325236167,
4
+ "eval_f1": 85.78998205229026,
5
+ "eval_runtime": 32.987,
6
+ "eval_samples": 6056,
7
+ "eval_samples_per_second": 183.587,
8
+ "eval_steps_per_second": 22.948,
9
+ "train_loss": 1.3483753287818292,
10
+ "train_runtime": 2670.4215,
11
+ "train_samples": 87739,
12
+ "train_samples_per_second": 65.712,
13
+ "train_steps_per_second": 5.476
14
+ }
config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/xtremedistil-l6-h384-uncased",
3
+ "architectures": [
4
+ "BertForQuestionAnswering"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "gradient_checkpointing": false,
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.1,
11
+ "hidden_size": 384,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 1536,
14
+ "layer_norm_eps": 1e-12,
15
+ "max_position_embeddings": 512,
16
+ "model_type": "bert",
17
+ "num_attention_heads": 12,
18
+ "num_hidden_layers": 6,
19
+ "pad_token_id": 0,
20
+ "position_embedding_type": "absolute",
21
+ "torch_dtype": "float32",
22
+ "transformers_version": "4.38.0.dev0",
23
+ "type_vocab_size": 2,
24
+ "use_cache": true,
25
+ "vocab_size": 30522
26
+ }
eval_nbest_predictions.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c2b6387515c64ad85b175de8109231a5c65d26a4878f0cb12b90b41089eb5eb6
3
+ size 27739432
eval_predictions.json ADDED
The diff for this file is too large to render. See raw diff
 
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.0,
3
+ "eval_exact_match": 76.80499325236167,
4
+ "eval_f1": 85.78998205229026,
5
+ "eval_runtime": 32.987,
6
+ "eval_samples": 6056,
7
+ "eval_samples_per_second": 183.587,
8
+ "eval_steps_per_second": 22.948
9
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4b049ac2723d75fd5784b479c798dc51b3665b232eb27decb96aedf65bfd797b
3
+ size 90276408
special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "mask_token": "[MASK]",
4
+ "pad_token": "[PAD]",
5
+ "sep_token": "[SEP]",
6
+ "unk_token": "[UNK]"
7
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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_basic_tokenize": true,
47
+ "do_lower_case": true,
48
+ "mask_token": "[MASK]",
49
+ "model_max_length": 1000000000000000019884624838656,
50
+ "never_split": null,
51
+ "pad_token": "[PAD]",
52
+ "sep_token": "[SEP]",
53
+ "strip_accents": null,
54
+ "tokenize_chinese_chars": true,
55
+ "tokenizer_class": "BertTokenizer",
56
+ "unk_token": "[UNK]"
57
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.0,
3
+ "train_loss": 1.3483753287818292,
4
+ "train_runtime": 2670.4215,
5
+ "train_samples": 87739,
6
+ "train_samples_per_second": 65.712,
7
+ "train_steps_per_second": 5.476
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.0,
5
+ "eval_steps": 500,
6
+ "global_step": 14624,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.07,
13
+ "learning_rate": 2.897428884026258e-05,
14
+ "loss": 3.4331,
15
+ "step": 500
16
+ },
17
+ {
18
+ "epoch": 0.14,
19
+ "learning_rate": 2.7948577680525165e-05,
20
+ "loss": 2.1219,
21
+ "step": 1000
22
+ },
23
+ {
24
+ "epoch": 0.21,
25
+ "learning_rate": 2.6922866520787748e-05,
26
+ "loss": 1.8112,
27
+ "step": 1500
28
+ },
29
+ {
30
+ "epoch": 0.27,
31
+ "learning_rate": 2.589715536105033e-05,
32
+ "loss": 1.6588,
33
+ "step": 2000
34
+ },
35
+ {
36
+ "epoch": 0.34,
37
+ "learning_rate": 2.4871444201312912e-05,
38
+ "loss": 1.5237,
39
+ "step": 2500
40
+ },
41
+ {
42
+ "epoch": 0.41,
43
+ "learning_rate": 2.3845733041575492e-05,
44
+ "loss": 1.463,
45
+ "step": 3000
46
+ },
47
+ {
48
+ "epoch": 0.48,
49
+ "learning_rate": 2.2820021881838072e-05,
50
+ "loss": 1.4293,
51
+ "step": 3500
52
+ },
53
+ {
54
+ "epoch": 0.55,
55
+ "learning_rate": 2.179431072210066e-05,
56
+ "loss": 1.3813,
57
+ "step": 4000
58
+ },
59
+ {
60
+ "epoch": 0.62,
61
+ "learning_rate": 2.076859956236324e-05,
62
+ "loss": 1.3349,
63
+ "step": 4500
64
+ },
65
+ {
66
+ "epoch": 0.68,
67
+ "learning_rate": 1.9742888402625823e-05,
68
+ "loss": 1.2893,
69
+ "step": 5000
70
+ },
71
+ {
72
+ "epoch": 0.75,
73
+ "learning_rate": 1.8717177242888403e-05,
74
+ "loss": 1.3047,
75
+ "step": 5500
76
+ },
77
+ {
78
+ "epoch": 0.82,
79
+ "learning_rate": 1.7691466083150983e-05,
80
+ "loss": 1.2601,
81
+ "step": 6000
82
+ },
83
+ {
84
+ "epoch": 0.89,
85
+ "learning_rate": 1.6665754923413567e-05,
86
+ "loss": 1.2731,
87
+ "step": 6500
88
+ },
89
+ {
90
+ "epoch": 0.96,
91
+ "learning_rate": 1.564004376367615e-05,
92
+ "loss": 1.2453,
93
+ "step": 7000
94
+ },
95
+ {
96
+ "epoch": 1.03,
97
+ "learning_rate": 1.4614332603938733e-05,
98
+ "loss": 1.2107,
99
+ "step": 7500
100
+ },
101
+ {
102
+ "epoch": 1.09,
103
+ "learning_rate": 1.3588621444201313e-05,
104
+ "loss": 1.1359,
105
+ "step": 8000
106
+ },
107
+ {
108
+ "epoch": 1.16,
109
+ "learning_rate": 1.2562910284463895e-05,
110
+ "loss": 1.1168,
111
+ "step": 8500
112
+ },
113
+ {
114
+ "epoch": 1.23,
115
+ "learning_rate": 1.1537199124726478e-05,
116
+ "loss": 1.1197,
117
+ "step": 9000
118
+ },
119
+ {
120
+ "epoch": 1.3,
121
+ "learning_rate": 1.0511487964989058e-05,
122
+ "loss": 1.1077,
123
+ "step": 9500
124
+ },
125
+ {
126
+ "epoch": 1.37,
127
+ "learning_rate": 9.485776805251642e-06,
128
+ "loss": 1.1104,
129
+ "step": 10000
130
+ },
131
+ {
132
+ "epoch": 1.44,
133
+ "learning_rate": 8.460065645514224e-06,
134
+ "loss": 1.1168,
135
+ "step": 10500
136
+ },
137
+ {
138
+ "epoch": 1.5,
139
+ "learning_rate": 7.434354485776806e-06,
140
+ "loss": 1.1007,
141
+ "step": 11000
142
+ },
143
+ {
144
+ "epoch": 1.57,
145
+ "learning_rate": 6.408643326039388e-06,
146
+ "loss": 1.066,
147
+ "step": 11500
148
+ },
149
+ {
150
+ "epoch": 1.64,
151
+ "learning_rate": 5.3829321663019695e-06,
152
+ "loss": 1.1172,
153
+ "step": 12000
154
+ },
155
+ {
156
+ "epoch": 1.71,
157
+ "learning_rate": 4.357221006564551e-06,
158
+ "loss": 1.1203,
159
+ "step": 12500
160
+ },
161
+ {
162
+ "epoch": 1.78,
163
+ "learning_rate": 3.3315098468271337e-06,
164
+ "loss": 1.0972,
165
+ "step": 13000
166
+ },
167
+ {
168
+ "epoch": 1.85,
169
+ "learning_rate": 2.3057986870897156e-06,
170
+ "loss": 1.0766,
171
+ "step": 13500
172
+ },
173
+ {
174
+ "epoch": 1.91,
175
+ "learning_rate": 1.2800875273522977e-06,
176
+ "loss": 1.0916,
177
+ "step": 14000
178
+ },
179
+ {
180
+ "epoch": 1.98,
181
+ "learning_rate": 2.543763676148797e-07,
182
+ "loss": 1.0628,
183
+ "step": 14500
184
+ },
185
+ {
186
+ "epoch": 2.0,
187
+ "step": 14624,
188
+ "total_flos": 4305130555198464.0,
189
+ "train_loss": 1.3483753287818292,
190
+ "train_runtime": 2670.4215,
191
+ "train_samples_per_second": 65.712,
192
+ "train_steps_per_second": 5.476
193
+ }
194
+ ],
195
+ "logging_steps": 500,
196
+ "max_steps": 14624,
197
+ "num_input_tokens_seen": 0,
198
+ "num_train_epochs": 2,
199
+ "save_steps": 500,
200
+ "total_flos": 4305130555198464.0,
201
+ "train_batch_size": 12,
202
+ "trial_name": null,
203
+ "trial_params": null
204
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bdce91777575d68d947a37ab9ddd61f085907d54dba6a98c4df9e028a4d09453
3
+ size 4728
vocab.txt ADDED
The diff for this file is too large to render. See raw diff