Upload ./trainer_state.json with huggingface_hub

#7
Files changed (1) hide show
  1. trainer_state.json +319 -0
trainer_state.json ADDED
@@ -0,0 +1,319 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 6.756756756756757,
5
+ "eval_steps": 500,
6
+ "global_step": 500,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.14,
13
+ "learning_rate": 4.996861268047709e-05,
14
+ "loss": 2.8343,
15
+ "step": 10
16
+ },
17
+ {
18
+ "epoch": 0.27,
19
+ "learning_rate": 4.9937225360954175e-05,
20
+ "loss": 2.6082,
21
+ "step": 20
22
+ },
23
+ {
24
+ "epoch": 0.41,
25
+ "learning_rate": 4.9905838041431265e-05,
26
+ "loss": 2.7027,
27
+ "step": 30
28
+ },
29
+ {
30
+ "epoch": 0.54,
31
+ "learning_rate": 4.987445072190835e-05,
32
+ "loss": 2.5134,
33
+ "step": 40
34
+ },
35
+ {
36
+ "epoch": 0.68,
37
+ "learning_rate": 4.984306340238544e-05,
38
+ "loss": 2.413,
39
+ "step": 50
40
+ },
41
+ {
42
+ "epoch": 0.81,
43
+ "learning_rate": 4.981167608286253e-05,
44
+ "loss": 2.4923,
45
+ "step": 60
46
+ },
47
+ {
48
+ "epoch": 0.95,
49
+ "learning_rate": 4.978028876333961e-05,
50
+ "loss": 2.5383,
51
+ "step": 70
52
+ },
53
+ {
54
+ "epoch": 1.08,
55
+ "learning_rate": 4.97489014438167e-05,
56
+ "loss": 2.1952,
57
+ "step": 80
58
+ },
59
+ {
60
+ "epoch": 1.22,
61
+ "learning_rate": 4.971751412429379e-05,
62
+ "loss": 2.3365,
63
+ "step": 90
64
+ },
65
+ {
66
+ "epoch": 1.35,
67
+ "learning_rate": 4.968612680477088e-05,
68
+ "loss": 2.2645,
69
+ "step": 100
70
+ },
71
+ {
72
+ "epoch": 1.49,
73
+ "learning_rate": 4.965473948524796e-05,
74
+ "loss": 2.2224,
75
+ "step": 110
76
+ },
77
+ {
78
+ "epoch": 1.62,
79
+ "learning_rate": 4.962335216572505e-05,
80
+ "loss": 2.1858,
81
+ "step": 120
82
+ },
83
+ {
84
+ "epoch": 1.76,
85
+ "learning_rate": 4.959196484620214e-05,
86
+ "loss": 2.01,
87
+ "step": 130
88
+ },
89
+ {
90
+ "epoch": 1.89,
91
+ "learning_rate": 4.956057752667922e-05,
92
+ "loss": 2.0707,
93
+ "step": 140
94
+ },
95
+ {
96
+ "epoch": 2.03,
97
+ "learning_rate": 4.952919020715631e-05,
98
+ "loss": 2.1271,
99
+ "step": 150
100
+ },
101
+ {
102
+ "epoch": 2.16,
103
+ "learning_rate": 4.9497802887633396e-05,
104
+ "loss": 2.1912,
105
+ "step": 160
106
+ },
107
+ {
108
+ "epoch": 2.3,
109
+ "learning_rate": 4.9466415568110485e-05,
110
+ "loss": 1.9693,
111
+ "step": 170
112
+ },
113
+ {
114
+ "epoch": 2.43,
115
+ "learning_rate": 4.9435028248587575e-05,
116
+ "loss": 1.7561,
117
+ "step": 180
118
+ },
119
+ {
120
+ "epoch": 2.57,
121
+ "learning_rate": 4.940364092906466e-05,
122
+ "loss": 2.1115,
123
+ "step": 190
124
+ },
125
+ {
126
+ "epoch": 2.7,
127
+ "learning_rate": 4.937225360954175e-05,
128
+ "loss": 1.9374,
129
+ "step": 200
130
+ },
131
+ {
132
+ "epoch": 2.84,
133
+ "learning_rate": 4.934086629001883e-05,
134
+ "loss": 1.8973,
135
+ "step": 210
136
+ },
137
+ {
138
+ "epoch": 2.97,
139
+ "learning_rate": 4.930947897049592e-05,
140
+ "loss": 1.9069,
141
+ "step": 220
142
+ },
143
+ {
144
+ "epoch": 3.11,
145
+ "learning_rate": 4.927809165097301e-05,
146
+ "loss": 1.8768,
147
+ "step": 230
148
+ },
149
+ {
150
+ "epoch": 3.24,
151
+ "learning_rate": 4.924670433145009e-05,
152
+ "loss": 1.7559,
153
+ "step": 240
154
+ },
155
+ {
156
+ "epoch": 3.38,
157
+ "learning_rate": 4.921531701192718e-05,
158
+ "loss": 1.6955,
159
+ "step": 250
160
+ },
161
+ {
162
+ "epoch": 3.51,
163
+ "learning_rate": 4.918392969240427e-05,
164
+ "loss": 1.4821,
165
+ "step": 260
166
+ },
167
+ {
168
+ "epoch": 3.65,
169
+ "learning_rate": 4.915254237288136e-05,
170
+ "loss": 1.7175,
171
+ "step": 270
172
+ },
173
+ {
174
+ "epoch": 3.78,
175
+ "learning_rate": 4.9121155053358444e-05,
176
+ "loss": 1.6685,
177
+ "step": 280
178
+ },
179
+ {
180
+ "epoch": 3.92,
181
+ "learning_rate": 4.9089767733835534e-05,
182
+ "loss": 1.6313,
183
+ "step": 290
184
+ },
185
+ {
186
+ "epoch": 4.05,
187
+ "learning_rate": 4.9058380414312623e-05,
188
+ "loss": 1.6231,
189
+ "step": 300
190
+ },
191
+ {
192
+ "epoch": 4.19,
193
+ "learning_rate": 4.9026993094789706e-05,
194
+ "loss": 1.4119,
195
+ "step": 310
196
+ },
197
+ {
198
+ "epoch": 4.32,
199
+ "learning_rate": 4.8995605775266796e-05,
200
+ "loss": 1.2547,
201
+ "step": 320
202
+ },
203
+ {
204
+ "epoch": 4.46,
205
+ "learning_rate": 4.896421845574388e-05,
206
+ "loss": 1.3748,
207
+ "step": 330
208
+ },
209
+ {
210
+ "epoch": 4.59,
211
+ "learning_rate": 4.893283113622097e-05,
212
+ "loss": 1.3336,
213
+ "step": 340
214
+ },
215
+ {
216
+ "epoch": 4.73,
217
+ "learning_rate": 4.890144381669806e-05,
218
+ "loss": 1.4334,
219
+ "step": 350
220
+ },
221
+ {
222
+ "epoch": 4.86,
223
+ "learning_rate": 4.887005649717514e-05,
224
+ "loss": 1.4155,
225
+ "step": 360
226
+ },
227
+ {
228
+ "epoch": 5.0,
229
+ "learning_rate": 4.883866917765223e-05,
230
+ "loss": 1.4832,
231
+ "step": 370
232
+ },
233
+ {
234
+ "epoch": 5.14,
235
+ "learning_rate": 4.8807281858129313e-05,
236
+ "loss": 0.9712,
237
+ "step": 380
238
+ },
239
+ {
240
+ "epoch": 5.27,
241
+ "learning_rate": 4.87758945386064e-05,
242
+ "loss": 1.1672,
243
+ "step": 390
244
+ },
245
+ {
246
+ "epoch": 5.41,
247
+ "learning_rate": 4.874450721908349e-05,
248
+ "loss": 1.338,
249
+ "step": 400
250
+ },
251
+ {
252
+ "epoch": 5.54,
253
+ "learning_rate": 4.8713119899560576e-05,
254
+ "loss": 1.0129,
255
+ "step": 410
256
+ },
257
+ {
258
+ "epoch": 5.68,
259
+ "learning_rate": 4.8681732580037665e-05,
260
+ "loss": 1.1344,
261
+ "step": 420
262
+ },
263
+ {
264
+ "epoch": 5.81,
265
+ "learning_rate": 4.8650345260514755e-05,
266
+ "loss": 1.139,
267
+ "step": 430
268
+ },
269
+ {
270
+ "epoch": 5.95,
271
+ "learning_rate": 4.8618957940991844e-05,
272
+ "loss": 1.1943,
273
+ "step": 440
274
+ },
275
+ {
276
+ "epoch": 6.08,
277
+ "learning_rate": 4.8587570621468934e-05,
278
+ "loss": 0.9281,
279
+ "step": 450
280
+ },
281
+ {
282
+ "epoch": 6.22,
283
+ "learning_rate": 4.855618330194602e-05,
284
+ "loss": 0.9121,
285
+ "step": 460
286
+ },
287
+ {
288
+ "epoch": 6.35,
289
+ "learning_rate": 4.8524795982423107e-05,
290
+ "loss": 1.0089,
291
+ "step": 470
292
+ },
293
+ {
294
+ "epoch": 6.49,
295
+ "learning_rate": 4.849340866290019e-05,
296
+ "loss": 0.9739,
297
+ "step": 480
298
+ },
299
+ {
300
+ "epoch": 6.62,
301
+ "learning_rate": 4.846202134337728e-05,
302
+ "loss": 0.958,
303
+ "step": 490
304
+ },
305
+ {
306
+ "epoch": 6.76,
307
+ "learning_rate": 4.843063402385437e-05,
308
+ "loss": 0.7523,
309
+ "step": 500
310
+ }
311
+ ],
312
+ "logging_steps": 10,
313
+ "max_steps": 15930,
314
+ "num_train_epochs": 216,
315
+ "save_steps": 500,
316
+ "total_flos": 2.821509238259712e+16,
317
+ "trial_name": null,
318
+ "trial_params": null
319
+ }