rabindralamsal commited on
Commit
9a7c283
1 Parent(s): 3ff85f3
Files changed (7) hide show
  1. config.json +28 -0
  2. model.safetensors +3 -0
  3. optimizer.pt +3 -0
  4. rng_state.pth +3 -0
  5. scheduler.pt +3 -0
  6. trainer_state.json +310 -0
  7. training_args.bin +3 -0
config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "crisistransformers/CT-M1-Complete",
3
+ "architectures": [
4
+ "RobertaForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "bos_token_id": 0,
8
+ "classifier_dropout": null,
9
+ "eos_token_id": 2,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 768,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 3072,
15
+ "layer_norm_eps": 1e-12,
16
+ "max_position_embeddings": 130,
17
+ "model_type": "roberta",
18
+ "num_attention_heads": 12,
19
+ "num_hidden_layers": 12,
20
+ "pad_token_id": 1,
21
+ "position_embedding_type": "absolute",
22
+ "problem_type": "single_label_classification",
23
+ "torch_dtype": "float32",
24
+ "transformers_version": "4.36.0",
25
+ "type_vocab_size": 1,
26
+ "use_cache": true,
27
+ "vocab_size": 64000
28
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ea05caf3785cd9928461f96390a3a713f0e0e5423e524460dc04537da349288b
3
+ size 539627096
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f24803bd39d72d339d0cd5d93e98fdf7798ab159375b0e17b51c378968dc670e
3
+ size 1079374010
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bd1c79ff09138ebbecea0fa1688656b3552ab488a9e33237faafce3286f3294f
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:02b786a6baa5959436d3b091f7a4635b167be958f357fca47c1602d6868fbddd
3
+ size 1064
trainer_state.json ADDED
@@ -0,0 +1,310 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.8011033681765389,
3
+ "best_model_checkpoint": "./output_4/checkpoint-270",
4
+ "epoch": 16.451612903225808,
5
+ "eval_steps": 30,
6
+ "global_step": 510,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.97,
13
+ "learning_rate": 9.758064516129034e-06,
14
+ "loss": 0.4653,
15
+ "step": 30
16
+ },
17
+ {
18
+ "epoch": 0.97,
19
+ "eval_f1": 0.47104247104247104,
20
+ "eval_loss": 0.34549078345298767,
21
+ "eval_precision": 0.44525547445255476,
22
+ "eval_recall": 0.5,
23
+ "eval_runtime": 0.8351,
24
+ "eval_samples_per_second": 164.048,
25
+ "eval_steps_per_second": 5.987,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 1.94,
30
+ "learning_rate": 9.516129032258065e-06,
31
+ "loss": 0.3365,
32
+ "step": 60
33
+ },
34
+ {
35
+ "epoch": 1.94,
36
+ "eval_f1": 0.47104247104247104,
37
+ "eval_loss": 0.33970290422439575,
38
+ "eval_precision": 0.44525547445255476,
39
+ "eval_recall": 0.5,
40
+ "eval_runtime": 0.8593,
41
+ "eval_samples_per_second": 159.439,
42
+ "eval_steps_per_second": 5.819,
43
+ "step": 60
44
+ },
45
+ {
46
+ "epoch": 2.9,
47
+ "learning_rate": 9.274193548387097e-06,
48
+ "loss": 0.3174,
49
+ "step": 90
50
+ },
51
+ {
52
+ "epoch": 2.9,
53
+ "eval_f1": 0.47104247104247104,
54
+ "eval_loss": 0.3178149461746216,
55
+ "eval_precision": 0.44525547445255476,
56
+ "eval_recall": 0.5,
57
+ "eval_runtime": 0.8461,
58
+ "eval_samples_per_second": 161.924,
59
+ "eval_steps_per_second": 5.91,
60
+ "step": 90
61
+ },
62
+ {
63
+ "epoch": 3.87,
64
+ "learning_rate": 9.03225806451613e-06,
65
+ "loss": 0.3154,
66
+ "step": 120
67
+ },
68
+ {
69
+ "epoch": 3.87,
70
+ "eval_f1": 0.787531017369727,
71
+ "eval_loss": 0.27127787470817566,
72
+ "eval_precision": 0.8358585858585859,
73
+ "eval_recall": 0.7543715846994535,
74
+ "eval_runtime": 0.8477,
75
+ "eval_samples_per_second": 161.61,
76
+ "eval_steps_per_second": 5.898,
77
+ "step": 120
78
+ },
79
+ {
80
+ "epoch": 4.84,
81
+ "learning_rate": 8.790322580645163e-06,
82
+ "loss": 0.2477,
83
+ "step": 150
84
+ },
85
+ {
86
+ "epoch": 4.84,
87
+ "eval_f1": 0.7579116465863454,
88
+ "eval_loss": 0.2217591255903244,
89
+ "eval_precision": 0.8185039370078739,
90
+ "eval_recall": 0.7210382513661202,
91
+ "eval_runtime": 0.8342,
92
+ "eval_samples_per_second": 164.232,
93
+ "eval_steps_per_second": 5.994,
94
+ "step": 150
95
+ },
96
+ {
97
+ "epoch": 5.81,
98
+ "learning_rate": 8.548387096774194e-06,
99
+ "loss": 0.1818,
100
+ "step": 180
101
+ },
102
+ {
103
+ "epoch": 5.81,
104
+ "eval_f1": 0.7754098360655737,
105
+ "eval_loss": 0.2334146499633789,
106
+ "eval_precision": 0.7754098360655737,
107
+ "eval_recall": 0.7754098360655737,
108
+ "eval_runtime": 0.833,
109
+ "eval_samples_per_second": 164.466,
110
+ "eval_steps_per_second": 6.002,
111
+ "step": 180
112
+ },
113
+ {
114
+ "epoch": 6.77,
115
+ "learning_rate": 8.306451612903227e-06,
116
+ "loss": 0.1681,
117
+ "step": 210
118
+ },
119
+ {
120
+ "epoch": 6.77,
121
+ "eval_f1": 0.6914948900051966,
122
+ "eval_loss": 0.28801918029785156,
123
+ "eval_precision": 0.7737403100775193,
124
+ "eval_recall": 0.6543715846994536,
125
+ "eval_runtime": 0.8432,
126
+ "eval_samples_per_second": 162.485,
127
+ "eval_steps_per_second": 5.93,
128
+ "step": 210
129
+ },
130
+ {
131
+ "epoch": 7.74,
132
+ "learning_rate": 8.064516129032258e-06,
133
+ "loss": 0.1128,
134
+ "step": 240
135
+ },
136
+ {
137
+ "epoch": 7.74,
138
+ "eval_f1": 0.726,
139
+ "eval_loss": 0.2648162841796875,
140
+ "eval_precision": 0.7981770833333333,
141
+ "eval_recall": 0.6877049180327869,
142
+ "eval_runtime": 0.8446,
143
+ "eval_samples_per_second": 162.204,
144
+ "eval_steps_per_second": 5.92,
145
+ "step": 240
146
+ },
147
+ {
148
+ "epoch": 8.71,
149
+ "learning_rate": 7.822580645161291e-06,
150
+ "loss": 0.0989,
151
+ "step": 270
152
+ },
153
+ {
154
+ "epoch": 8.71,
155
+ "eval_f1": 0.8011033681765389,
156
+ "eval_loss": 0.2688542306423187,
157
+ "eval_precision": 0.8219602977667494,
158
+ "eval_recall": 0.7836065573770492,
159
+ "eval_runtime": 0.8386,
160
+ "eval_samples_per_second": 163.369,
161
+ "eval_steps_per_second": 5.962,
162
+ "step": 270
163
+ },
164
+ {
165
+ "epoch": 9.68,
166
+ "learning_rate": 7.580645161290323e-06,
167
+ "loss": 0.09,
168
+ "step": 300
169
+ },
170
+ {
171
+ "epoch": 9.68,
172
+ "eval_f1": 0.7716666666666667,
173
+ "eval_loss": 0.27322623133659363,
174
+ "eval_precision": 0.8576388888888888,
175
+ "eval_recall": 0.7251366120218579,
176
+ "eval_runtime": 0.8354,
177
+ "eval_samples_per_second": 163.993,
178
+ "eval_steps_per_second": 5.985,
179
+ "step": 300
180
+ },
181
+ {
182
+ "epoch": 10.65,
183
+ "learning_rate": 7.338709677419356e-06,
184
+ "loss": 0.0772,
185
+ "step": 330
186
+ },
187
+ {
188
+ "epoch": 10.65,
189
+ "eval_f1": 0.7740290898185634,
190
+ "eval_loss": 0.30010420083999634,
191
+ "eval_precision": 0.8053333333333332,
192
+ "eval_recall": 0.7502732240437158,
193
+ "eval_runtime": 0.8358,
194
+ "eval_samples_per_second": 163.909,
195
+ "eval_steps_per_second": 5.982,
196
+ "step": 330
197
+ },
198
+ {
199
+ "epoch": 11.61,
200
+ "learning_rate": 7.096774193548388e-06,
201
+ "loss": 0.0616,
202
+ "step": 360
203
+ },
204
+ {
205
+ "epoch": 11.61,
206
+ "eval_f1": 0.726,
207
+ "eval_loss": 0.3184939920902252,
208
+ "eval_precision": 0.7981770833333333,
209
+ "eval_recall": 0.6877049180327869,
210
+ "eval_runtime": 0.8427,
211
+ "eval_samples_per_second": 162.575,
212
+ "eval_steps_per_second": 5.933,
213
+ "step": 360
214
+ },
215
+ {
216
+ "epoch": 12.58,
217
+ "learning_rate": 6.854838709677419e-06,
218
+ "loss": 0.0476,
219
+ "step": 390
220
+ },
221
+ {
222
+ "epoch": 12.58,
223
+ "eval_f1": 0.7215447154471545,
224
+ "eval_loss": 0.36287298798561096,
225
+ "eval_precision": 0.7369727047146402,
226
+ "eval_recall": 0.708743169398907,
227
+ "eval_runtime": 0.8413,
228
+ "eval_samples_per_second": 162.849,
229
+ "eval_steps_per_second": 5.943,
230
+ "step": 390
231
+ },
232
+ {
233
+ "epoch": 13.55,
234
+ "learning_rate": 6.612903225806452e-06,
235
+ "loss": 0.0331,
236
+ "step": 420
237
+ },
238
+ {
239
+ "epoch": 13.55,
240
+ "eval_f1": 0.7878958479943701,
241
+ "eval_loss": 0.3389006555080414,
242
+ "eval_precision": 0.7970383275261324,
243
+ "eval_recall": 0.7795081967213114,
244
+ "eval_runtime": 0.8333,
245
+ "eval_samples_per_second": 164.406,
246
+ "eval_steps_per_second": 6.0,
247
+ "step": 420
248
+ },
249
+ {
250
+ "epoch": 14.52,
251
+ "learning_rate": 6.370967741935485e-06,
252
+ "loss": 0.0473,
253
+ "step": 450
254
+ },
255
+ {
256
+ "epoch": 14.52,
257
+ "eval_f1": 0.7389572146197818,
258
+ "eval_loss": 0.3224264681339264,
259
+ "eval_precision": 0.8401162790697674,
260
+ "eval_recall": 0.6918032786885246,
261
+ "eval_runtime": 0.8344,
262
+ "eval_samples_per_second": 164.2,
263
+ "eval_steps_per_second": 5.993,
264
+ "step": 450
265
+ },
266
+ {
267
+ "epoch": 15.48,
268
+ "learning_rate": 6.129032258064517e-06,
269
+ "loss": 0.0342,
270
+ "step": 480
271
+ },
272
+ {
273
+ "epoch": 15.48,
274
+ "eval_f1": 0.787531017369727,
275
+ "eval_loss": 0.3013747036457062,
276
+ "eval_precision": 0.8358585858585859,
277
+ "eval_recall": 0.7543715846994535,
278
+ "eval_runtime": 0.8339,
279
+ "eval_samples_per_second": 164.295,
280
+ "eval_steps_per_second": 5.996,
281
+ "step": 480
282
+ },
283
+ {
284
+ "epoch": 16.45,
285
+ "learning_rate": 5.887096774193549e-06,
286
+ "loss": 0.0374,
287
+ "step": 510
288
+ },
289
+ {
290
+ "epoch": 16.45,
291
+ "eval_f1": 0.726,
292
+ "eval_loss": 0.34248507022857666,
293
+ "eval_precision": 0.7981770833333333,
294
+ "eval_recall": 0.6877049180327869,
295
+ "eval_runtime": 0.8368,
296
+ "eval_samples_per_second": 163.722,
297
+ "eval_steps_per_second": 5.975,
298
+ "step": 510
299
+ }
300
+ ],
301
+ "logging_steps": 30,
302
+ "max_steps": 1240,
303
+ "num_input_tokens_seen": 0,
304
+ "num_train_epochs": 40,
305
+ "save_steps": 30,
306
+ "total_flos": 415559245279680.0,
307
+ "train_batch_size": 32,
308
+ "trial_name": null,
309
+ "trial_params": null
310
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:df68c4600959d886c82cdf735641652febe2485ac9a13f027b1acc26b214e7e9
3
+ size 4664