Yida commited on
Commit
1eb1db8
·
verified ·
1 Parent(s): d1694fe

Upload folder using huggingface_hub

Browse files
Files changed (7) hide show
  1. head.pt +3 -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 +319 -0
  7. training_args.bin +3 -0
head.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c0858f64786ece9aee3b49091464a82fb78981c292dd87775d1d004a5ece5795
3
+ size 42374
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3d21d1a3f2d59ff771ba0c63db81e3f625fb3dc1c4c0b3371cce64bb28ea4940
3
+ size 15177767650
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:77e72f0b05410bbd4ca8ae7b4b2a128906dfcadef413f799e494094d36ab5f6c
3
+ size 336006040
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:70baeded00dccc74bd1983a5270f31dfa41517005de6aadbf3fc2e13929870d8
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:505e140348cf428a705b42cb8aafd791b8d0b0ac55c70e82b985098cfa08a46a
3
+ size 1064
trainer_state.json ADDED
@@ -0,0 +1,319 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.0,
5
+ "eval_steps": 500,
6
+ "global_step": 18750,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.08,
13
+ "grad_norm": 18.305925369262695,
14
+ "learning_rate": 1.3333333333333333e-05,
15
+ "loss": 1.635,
16
+ "step": 500
17
+ },
18
+ {
19
+ "epoch": 0.16,
20
+ "grad_norm": 15.116157531738281,
21
+ "learning_rate": 2.6666666666666667e-05,
22
+ "loss": 0.5409,
23
+ "step": 1000
24
+ },
25
+ {
26
+ "epoch": 0.24,
27
+ "grad_norm": 13.341463088989258,
28
+ "learning_rate": 4e-05,
29
+ "loss": 0.4258,
30
+ "step": 1500
31
+ },
32
+ {
33
+ "epoch": 0.32,
34
+ "grad_norm": 11.549241065979004,
35
+ "learning_rate": 4.9993231029486544e-05,
36
+ "loss": 0.3779,
37
+ "step": 2000
38
+ },
39
+ {
40
+ "epoch": 0.4,
41
+ "grad_norm": 13.320897102355957,
42
+ "learning_rate": 4.983095894354858e-05,
43
+ "loss": 0.3566,
44
+ "step": 2500
45
+ },
46
+ {
47
+ "epoch": 0.48,
48
+ "grad_norm": 15.671639442443848,
49
+ "learning_rate": 4.9453690018345144e-05,
50
+ "loss": 0.3249,
51
+ "step": 3000
52
+ },
53
+ {
54
+ "epoch": 0.56,
55
+ "grad_norm": 10.806138038635254,
56
+ "learning_rate": 4.88646908061933e-05,
57
+ "loss": 0.2979,
58
+ "step": 3500
59
+ },
60
+ {
61
+ "epoch": 0.64,
62
+ "grad_norm": 0.03432423993945122,
63
+ "learning_rate": 4.806906110888606e-05,
64
+ "loss": 0.2806,
65
+ "step": 4000
66
+ },
67
+ {
68
+ "epoch": 0.72,
69
+ "grad_norm": 11.576502799987793,
70
+ "learning_rate": 4.707368982147318e-05,
71
+ "loss": 0.257,
72
+ "step": 4500
73
+ },
74
+ {
75
+ "epoch": 0.8,
76
+ "grad_norm": 0.5009346008300781,
77
+ "learning_rate": 4.588719528532342e-05,
78
+ "loss": 0.2509,
79
+ "step": 5000
80
+ },
81
+ {
82
+ "epoch": 0.88,
83
+ "grad_norm": 10.398884773254395,
84
+ "learning_rate": 4.4519850666916484e-05,
85
+ "loss": 0.2642,
86
+ "step": 5500
87
+ },
88
+ {
89
+ "epoch": 0.96,
90
+ "grad_norm": 0.5586361885070801,
91
+ "learning_rate": 4.2983495008466276e-05,
92
+ "loss": 0.2452,
93
+ "step": 6000
94
+ },
95
+ {
96
+ "epoch": 1.0,
97
+ "eval_accuracy": 0.9526,
98
+ "eval_loss": 0.2175797075033188,
99
+ "eval_runtime": 288.1127,
100
+ "eval_samples_per_second": 17.354,
101
+ "eval_steps_per_second": 2.169,
102
+ "step": 6250
103
+ },
104
+ {
105
+ "epoch": 1.04,
106
+ "grad_norm": 15.244111061096191,
107
+ "learning_rate": 4.129143072053638e-05,
108
+ "loss": 0.1726,
109
+ "step": 6500
110
+ },
111
+ {
112
+ "epoch": 1.12,
113
+ "grad_norm": 23.2961368560791,
114
+ "learning_rate": 3.945830840419966e-05,
115
+ "loss": 0.1662,
116
+ "step": 7000
117
+ },
118
+ {
119
+ "epoch": 1.2,
120
+ "grad_norm": 48.89887619018555,
121
+ "learning_rate": 3.7500000000000003e-05,
122
+ "loss": 0.1588,
123
+ "step": 7500
124
+ },
125
+ {
126
+ "epoch": 1.28,
127
+ "grad_norm": 1.5729694496258162e-05,
128
+ "learning_rate": 3.543346136204545e-05,
129
+ "loss": 0.1415,
130
+ "step": 8000
131
+ },
132
+ {
133
+ "epoch": 1.3599999999999999,
134
+ "grad_norm": 0.0002951535861939192,
135
+ "learning_rate": 3.327658544712395e-05,
136
+ "loss": 0.1514,
137
+ "step": 8500
138
+ },
139
+ {
140
+ "epoch": 1.44,
141
+ "grad_norm": 15.348397254943848,
142
+ "learning_rate": 3.104804738999169e-05,
143
+ "loss": 0.1365,
144
+ "step": 9000
145
+ },
146
+ {
147
+ "epoch": 1.52,
148
+ "grad_norm": 0.00016808633517939597,
149
+ "learning_rate": 2.876714280623708e-05,
150
+ "loss": 0.1339,
151
+ "step": 9500
152
+ },
153
+ {
154
+ "epoch": 1.6,
155
+ "grad_norm": 30.164745330810547,
156
+ "learning_rate": 2.6453620722761896e-05,
157
+ "loss": 0.138,
158
+ "step": 10000
159
+ },
160
+ {
161
+ "epoch": 1.6800000000000002,
162
+ "grad_norm": 6.264598050620407e-05,
163
+ "learning_rate": 2.4127512582437485e-05,
164
+ "loss": 0.1395,
165
+ "step": 10500
166
+ },
167
+ {
168
+ "epoch": 1.76,
169
+ "grad_norm": 0.0032692451495677233,
170
+ "learning_rate": 2.1808958803485136e-05,
171
+ "loss": 0.1151,
172
+ "step": 11000
173
+ },
174
+ {
175
+ "epoch": 1.8399999999999999,
176
+ "grad_norm": 0.0009920683223754168,
177
+ "learning_rate": 1.9518034395302414e-05,
178
+ "loss": 0.1159,
179
+ "step": 11500
180
+ },
181
+ {
182
+ "epoch": 1.92,
183
+ "grad_norm": 0.0016635229112580419,
184
+ "learning_rate": 1.7274575140626318e-05,
185
+ "loss": 0.1204,
186
+ "step": 12000
187
+ },
188
+ {
189
+ "epoch": 2.0,
190
+ "grad_norm": 0.007010475266724825,
191
+ "learning_rate": 1.509800584902108e-05,
192
+ "loss": 0.1096,
193
+ "step": 12500
194
+ },
195
+ {
196
+ "epoch": 2.0,
197
+ "eval_accuracy": 0.9636,
198
+ "eval_loss": 0.16214776039123535,
199
+ "eval_runtime": 287.6078,
200
+ "eval_samples_per_second": 17.385,
201
+ "eval_steps_per_second": 2.173,
202
+ "step": 12500
203
+ },
204
+ {
205
+ "epoch": 2.08,
206
+ "grad_norm": 0.001354572712443769,
207
+ "learning_rate": 1.3007172168743854e-05,
208
+ "loss": 0.0312,
209
+ "step": 13000
210
+ },
211
+ {
212
+ "epoch": 2.16,
213
+ "grad_norm": 8.306991730933078e-06,
214
+ "learning_rate": 1.1020177413231334e-05,
215
+ "loss": 0.0281,
216
+ "step": 13500
217
+ },
218
+ {
219
+ "epoch": 2.24,
220
+ "grad_norm": 2.6390673156129196e-05,
221
+ "learning_rate": 9.154225815032242e-06,
222
+ "loss": 0.0361,
223
+ "step": 14000
224
+ },
225
+ {
226
+ "epoch": 2.32,
227
+ "grad_norm": 0.00028656359063461423,
228
+ "learning_rate": 7.4254735643584564e-06,
229
+ "loss": 0.06,
230
+ "step": 14500
231
+ },
232
+ {
233
+ "epoch": 2.4,
234
+ "grad_norm": 3.382603972568177e-05,
235
+ "learning_rate": 5.848888922025553e-06,
236
+ "loss": 0.0392,
237
+ "step": 15000
238
+ },
239
+ {
240
+ "epoch": 2.48,
241
+ "grad_norm": 0.001894937246106565,
242
+ "learning_rate": 4.438122617983443e-06,
243
+ "loss": 0.0332,
244
+ "step": 15500
245
+ },
246
+ {
247
+ "epoch": 2.56,
248
+ "grad_norm": 2.6853955205297098e-05,
249
+ "learning_rate": 3.205389657580943e-06,
250
+ "loss": 0.0362,
251
+ "step": 16000
252
+ },
253
+ {
254
+ "epoch": 2.64,
255
+ "grad_norm": 0.7828443646430969,
256
+ "learning_rate": 2.1613635589349756e-06,
257
+ "loss": 0.0324,
258
+ "step": 16500
259
+ },
260
+ {
261
+ "epoch": 2.7199999999999998,
262
+ "grad_norm": 0.1359904706478119,
263
+ "learning_rate": 1.31508393714177e-06,
264
+ "loss": 0.0474,
265
+ "step": 17000
266
+ },
267
+ {
268
+ "epoch": 2.8,
269
+ "grad_norm": 0.0003148973046336323,
270
+ "learning_rate": 6.738782355044049e-07,
271
+ "loss": 0.0387,
272
+ "step": 17500
273
+ },
274
+ {
275
+ "epoch": 2.88,
276
+ "grad_norm": 0.00042670563561841846,
277
+ "learning_rate": 2.4329828146074095e-07,
278
+ "loss": 0.028,
279
+ "step": 18000
280
+ },
281
+ {
282
+ "epoch": 2.96,
283
+ "grad_norm": 9.56340809352696e-05,
284
+ "learning_rate": 2.7072216536885853e-08,
285
+ "loss": 0.0349,
286
+ "step": 18500
287
+ },
288
+ {
289
+ "epoch": 3.0,
290
+ "eval_accuracy": 0.9716,
291
+ "eval_loss": 0.18466220796108246,
292
+ "eval_runtime": 286.2615,
293
+ "eval_samples_per_second": 17.467,
294
+ "eval_steps_per_second": 2.183,
295
+ "step": 18750
296
+ }
297
+ ],
298
+ "logging_steps": 500,
299
+ "max_steps": 18750,
300
+ "num_input_tokens_seen": 0,
301
+ "num_train_epochs": 3,
302
+ "save_steps": 500,
303
+ "stateful_callbacks": {
304
+ "TrainerControl": {
305
+ "args": {
306
+ "should_epoch_stop": false,
307
+ "should_evaluate": false,
308
+ "should_log": false,
309
+ "should_save": true,
310
+ "should_training_stop": true
311
+ },
312
+ "attributes": {}
313
+ }
314
+ },
315
+ "total_flos": 0.0,
316
+ "train_batch_size": 8,
317
+ "trial_name": null,
318
+ "trial_params": null
319
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e655c9f4ec242123684bdefde757c27947012689a113dea3c6edf3c217226334
3
+ size 5368