BilelDJ commited on
Commit
c3d5f07
1 Parent(s): 42b9e1f

Training in progress, step 282

Browse files
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ea1ae08fd2d617b5d9fc0cd0b277111933d62bcd9827957104f08a7ca24187a6
3
  size 605156676
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7479e4640aa8b3ee33e7cfabc86c5808c4ce220f08794cbde2199f6097706825
3
  size 605156676
run-nk1o8cuk/checkpoint-282/config.json ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "openai/clip-vit-base-patch32",
3
+ "architectures": [
4
+ "CLIPModel"
5
+ ],
6
+ "initializer_factor": 1.0,
7
+ "logit_scale_init_value": 2.6592,
8
+ "model_type": "clip",
9
+ "projection_dim": 512,
10
+ "text_config": {
11
+ "bos_token_id": 0,
12
+ "dropout": 0.0,
13
+ "eos_token_id": 2,
14
+ "model_type": "clip_text_model"
15
+ },
16
+ "torch_dtype": "float32",
17
+ "transformers_version": "4.42.0.dev0",
18
+ "vision_config": {
19
+ "dropout": 0.0,
20
+ "model_type": "clip_vision_model"
21
+ }
22
+ }
run-nk1o8cuk/checkpoint-282/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7479e4640aa8b3ee33e7cfabc86c5808c4ce220f08794cbde2199f6097706825
3
+ size 605156676
run-nk1o8cuk/checkpoint-282/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d377ce2bbb5da61d2a36dcd3a7f235162bf61d5197350d98e36b334ad59cc004
3
+ size 1210551612
run-nk1o8cuk/checkpoint-282/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:69c50a2d44302b65e4b4af5269ec9392f104b2d5402ccbb461786bead4e2de18
3
+ size 14244
run-nk1o8cuk/checkpoint-282/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5cd28ea38f05f57d905282e2cf19832ae3cd4218351b888feb45c97f26b5a88d
3
+ size 1064
run-nk1o8cuk/checkpoint-282/trainer_state.json ADDED
@@ -0,0 +1,1450 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.0,
5
+ "eval_steps": 3,
6
+ "global_step": 282,
7
+ "is_hyper_param_search": true,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.031914893617021274,
13
+ "grad_norm": 219.1436309814453,
14
+ "learning_rate": 4.687722050568071e-06,
15
+ "loss": 1.6437,
16
+ "step": 3
17
+ },
18
+ {
19
+ "epoch": 0.031914893617021274,
20
+ "eval_loss": 1.2238304615020752,
21
+ "eval_runtime": 49.6348,
22
+ "eval_samples_per_second": 6.044,
23
+ "eval_steps_per_second": 0.201,
24
+ "step": 3
25
+ },
26
+ {
27
+ "epoch": 0.06382978723404255,
28
+ "grad_norm": 151.3193817138672,
29
+ "learning_rate": 4.637316437121103e-06,
30
+ "loss": 1.5519,
31
+ "step": 6
32
+ },
33
+ {
34
+ "epoch": 0.06382978723404255,
35
+ "eval_loss": 1.166587471961975,
36
+ "eval_runtime": 43.6496,
37
+ "eval_samples_per_second": 6.873,
38
+ "eval_steps_per_second": 0.229,
39
+ "step": 6
40
+ },
41
+ {
42
+ "epoch": 0.09574468085106383,
43
+ "grad_norm": 151.81333923339844,
44
+ "learning_rate": 4.586910823674134e-06,
45
+ "loss": 1.1065,
46
+ "step": 9
47
+ },
48
+ {
49
+ "epoch": 0.09574468085106383,
50
+ "eval_loss": 1.167779803276062,
51
+ "eval_runtime": 43.8309,
52
+ "eval_samples_per_second": 6.844,
53
+ "eval_steps_per_second": 0.228,
54
+ "step": 9
55
+ },
56
+ {
57
+ "epoch": 0.1276595744680851,
58
+ "grad_norm": 216.54078674316406,
59
+ "learning_rate": 4.536505210227166e-06,
60
+ "loss": 1.0103,
61
+ "step": 12
62
+ },
63
+ {
64
+ "epoch": 0.1276595744680851,
65
+ "eval_loss": 1.1300101280212402,
66
+ "eval_runtime": 42.8188,
67
+ "eval_samples_per_second": 7.006,
68
+ "eval_steps_per_second": 0.234,
69
+ "step": 12
70
+ },
71
+ {
72
+ "epoch": 0.1595744680851064,
73
+ "grad_norm": 96.97032928466797,
74
+ "learning_rate": 4.486099596780197e-06,
75
+ "loss": 1.1391,
76
+ "step": 15
77
+ },
78
+ {
79
+ "epoch": 0.1595744680851064,
80
+ "eval_loss": 1.093359351158142,
81
+ "eval_runtime": 43.7071,
82
+ "eval_samples_per_second": 6.864,
83
+ "eval_steps_per_second": 0.229,
84
+ "step": 15
85
+ },
86
+ {
87
+ "epoch": 0.19148936170212766,
88
+ "grad_norm": 93.6313247680664,
89
+ "learning_rate": 4.435693983333229e-06,
90
+ "loss": 1.1749,
91
+ "step": 18
92
+ },
93
+ {
94
+ "epoch": 0.19148936170212766,
95
+ "eval_loss": 1.0837420225143433,
96
+ "eval_runtime": 42.6236,
97
+ "eval_samples_per_second": 7.038,
98
+ "eval_steps_per_second": 0.235,
99
+ "step": 18
100
+ },
101
+ {
102
+ "epoch": 0.22340425531914893,
103
+ "grad_norm": 128.5612030029297,
104
+ "learning_rate": 4.38528836988626e-06,
105
+ "loss": 1.0878,
106
+ "step": 21
107
+ },
108
+ {
109
+ "epoch": 0.22340425531914893,
110
+ "eval_loss": 1.0713236331939697,
111
+ "eval_runtime": 43.1057,
112
+ "eval_samples_per_second": 6.96,
113
+ "eval_steps_per_second": 0.232,
114
+ "step": 21
115
+ },
116
+ {
117
+ "epoch": 0.2553191489361702,
118
+ "grad_norm": 106.38141632080078,
119
+ "learning_rate": 4.334882756439292e-06,
120
+ "loss": 0.8829,
121
+ "step": 24
122
+ },
123
+ {
124
+ "epoch": 0.2553191489361702,
125
+ "eval_loss": 1.0457205772399902,
126
+ "eval_runtime": 43.4262,
127
+ "eval_samples_per_second": 6.908,
128
+ "eval_steps_per_second": 0.23,
129
+ "step": 24
130
+ },
131
+ {
132
+ "epoch": 0.2872340425531915,
133
+ "grad_norm": 109.02174377441406,
134
+ "learning_rate": 4.284477142992323e-06,
135
+ "loss": 1.3004,
136
+ "step": 27
137
+ },
138
+ {
139
+ "epoch": 0.2872340425531915,
140
+ "eval_loss": 1.015425205230713,
141
+ "eval_runtime": 42.8448,
142
+ "eval_samples_per_second": 7.002,
143
+ "eval_steps_per_second": 0.233,
144
+ "step": 27
145
+ },
146
+ {
147
+ "epoch": 0.3191489361702128,
148
+ "grad_norm": 93.8167495727539,
149
+ "learning_rate": 4.234071529545355e-06,
150
+ "loss": 1.0768,
151
+ "step": 30
152
+ },
153
+ {
154
+ "epoch": 0.3191489361702128,
155
+ "eval_loss": 0.9899512529373169,
156
+ "eval_runtime": 62.0193,
157
+ "eval_samples_per_second": 4.837,
158
+ "eval_steps_per_second": 0.161,
159
+ "step": 30
160
+ },
161
+ {
162
+ "epoch": 0.35106382978723405,
163
+ "grad_norm": 117.0296401977539,
164
+ "learning_rate": 4.183665916098386e-06,
165
+ "loss": 0.8761,
166
+ "step": 33
167
+ },
168
+ {
169
+ "epoch": 0.35106382978723405,
170
+ "eval_loss": 0.9733409881591797,
171
+ "eval_runtime": 43.6195,
172
+ "eval_samples_per_second": 6.878,
173
+ "eval_steps_per_second": 0.229,
174
+ "step": 33
175
+ },
176
+ {
177
+ "epoch": 0.3829787234042553,
178
+ "grad_norm": 97.06668090820312,
179
+ "learning_rate": 4.1332603026514175e-06,
180
+ "loss": 1.0648,
181
+ "step": 36
182
+ },
183
+ {
184
+ "epoch": 0.3829787234042553,
185
+ "eval_loss": 0.9584157466888428,
186
+ "eval_runtime": 43.1964,
187
+ "eval_samples_per_second": 6.945,
188
+ "eval_steps_per_second": 0.232,
189
+ "step": 36
190
+ },
191
+ {
192
+ "epoch": 0.4148936170212766,
193
+ "grad_norm": 69.0722427368164,
194
+ "learning_rate": 4.082854689204449e-06,
195
+ "loss": 0.8425,
196
+ "step": 39
197
+ },
198
+ {
199
+ "epoch": 0.4148936170212766,
200
+ "eval_loss": 0.9429272413253784,
201
+ "eval_runtime": 43.4379,
202
+ "eval_samples_per_second": 6.906,
203
+ "eval_steps_per_second": 0.23,
204
+ "step": 39
205
+ },
206
+ {
207
+ "epoch": 0.44680851063829785,
208
+ "grad_norm": 72.62019348144531,
209
+ "learning_rate": 4.032449075757481e-06,
210
+ "loss": 0.8714,
211
+ "step": 42
212
+ },
213
+ {
214
+ "epoch": 0.44680851063829785,
215
+ "eval_loss": 0.9335389137268066,
216
+ "eval_runtime": 42.713,
217
+ "eval_samples_per_second": 7.024,
218
+ "eval_steps_per_second": 0.234,
219
+ "step": 42
220
+ },
221
+ {
222
+ "epoch": 0.4787234042553192,
223
+ "grad_norm": 91.91283416748047,
224
+ "learning_rate": 3.982043462310513e-06,
225
+ "loss": 0.9101,
226
+ "step": 45
227
+ },
228
+ {
229
+ "epoch": 0.4787234042553192,
230
+ "eval_loss": 0.9222455024719238,
231
+ "eval_runtime": 43.5273,
232
+ "eval_samples_per_second": 6.892,
233
+ "eval_steps_per_second": 0.23,
234
+ "step": 45
235
+ },
236
+ {
237
+ "epoch": 0.5106382978723404,
238
+ "grad_norm": 71.0954360961914,
239
+ "learning_rate": 3.931637848863544e-06,
240
+ "loss": 1.0336,
241
+ "step": 48
242
+ },
243
+ {
244
+ "epoch": 0.5106382978723404,
245
+ "eval_loss": 0.9134926199913025,
246
+ "eval_runtime": 46.5111,
247
+ "eval_samples_per_second": 6.45,
248
+ "eval_steps_per_second": 0.215,
249
+ "step": 48
250
+ },
251
+ {
252
+ "epoch": 0.5425531914893617,
253
+ "grad_norm": 92.62516021728516,
254
+ "learning_rate": 3.881232235416575e-06,
255
+ "loss": 0.941,
256
+ "step": 51
257
+ },
258
+ {
259
+ "epoch": 0.5425531914893617,
260
+ "eval_loss": 0.9049246311187744,
261
+ "eval_runtime": 43.2332,
262
+ "eval_samples_per_second": 6.939,
263
+ "eval_steps_per_second": 0.231,
264
+ "step": 51
265
+ },
266
+ {
267
+ "epoch": 0.574468085106383,
268
+ "grad_norm": 87.83678436279297,
269
+ "learning_rate": 3.830826621969607e-06,
270
+ "loss": 1.1561,
271
+ "step": 54
272
+ },
273
+ {
274
+ "epoch": 0.574468085106383,
275
+ "eval_loss": 0.9015933275222778,
276
+ "eval_runtime": 43.95,
277
+ "eval_samples_per_second": 6.826,
278
+ "eval_steps_per_second": 0.228,
279
+ "step": 54
280
+ },
281
+ {
282
+ "epoch": 0.6063829787234043,
283
+ "grad_norm": 81.34359741210938,
284
+ "learning_rate": 3.780421008522638e-06,
285
+ "loss": 0.9756,
286
+ "step": 57
287
+ },
288
+ {
289
+ "epoch": 0.6063829787234043,
290
+ "eval_loss": 0.8971786499023438,
291
+ "eval_runtime": 43.2014,
292
+ "eval_samples_per_second": 6.944,
293
+ "eval_steps_per_second": 0.231,
294
+ "step": 57
295
+ },
296
+ {
297
+ "epoch": 0.6382978723404256,
298
+ "grad_norm": 64.89433288574219,
299
+ "learning_rate": 3.73001539507567e-06,
300
+ "loss": 0.749,
301
+ "step": 60
302
+ },
303
+ {
304
+ "epoch": 0.6382978723404256,
305
+ "eval_loss": 0.8940334916114807,
306
+ "eval_runtime": 50.073,
307
+ "eval_samples_per_second": 5.991,
308
+ "eval_steps_per_second": 0.2,
309
+ "step": 60
310
+ },
311
+ {
312
+ "epoch": 0.6702127659574468,
313
+ "grad_norm": 92.25138854980469,
314
+ "learning_rate": 3.679609781628701e-06,
315
+ "loss": 0.9315,
316
+ "step": 63
317
+ },
318
+ {
319
+ "epoch": 0.6702127659574468,
320
+ "eval_loss": 0.8884549736976624,
321
+ "eval_runtime": 46.5461,
322
+ "eval_samples_per_second": 6.445,
323
+ "eval_steps_per_second": 0.215,
324
+ "step": 63
325
+ },
326
+ {
327
+ "epoch": 0.7021276595744681,
328
+ "grad_norm": 86.6369400024414,
329
+ "learning_rate": 3.629204168181733e-06,
330
+ "loss": 1.1571,
331
+ "step": 66
332
+ },
333
+ {
334
+ "epoch": 0.7021276595744681,
335
+ "eval_loss": 0.883185625076294,
336
+ "eval_runtime": 43.0575,
337
+ "eval_samples_per_second": 6.967,
338
+ "eval_steps_per_second": 0.232,
339
+ "step": 66
340
+ },
341
+ {
342
+ "epoch": 0.7340425531914894,
343
+ "grad_norm": 87.74919128417969,
344
+ "learning_rate": 3.5787985547347642e-06,
345
+ "loss": 1.3094,
346
+ "step": 69
347
+ },
348
+ {
349
+ "epoch": 0.7340425531914894,
350
+ "eval_loss": 0.8721677660942078,
351
+ "eval_runtime": 43.1156,
352
+ "eval_samples_per_second": 6.958,
353
+ "eval_steps_per_second": 0.232,
354
+ "step": 69
355
+ },
356
+ {
357
+ "epoch": 0.7659574468085106,
358
+ "grad_norm": 81.59742736816406,
359
+ "learning_rate": 3.5283929412877956e-06,
360
+ "loss": 1.0689,
361
+ "step": 72
362
+ },
363
+ {
364
+ "epoch": 0.7659574468085106,
365
+ "eval_loss": 0.8642645478248596,
366
+ "eval_runtime": 43.5775,
367
+ "eval_samples_per_second": 6.884,
368
+ "eval_steps_per_second": 0.229,
369
+ "step": 72
370
+ },
371
+ {
372
+ "epoch": 0.7978723404255319,
373
+ "grad_norm": 81.44770050048828,
374
+ "learning_rate": 3.477987327840827e-06,
375
+ "loss": 0.8599,
376
+ "step": 75
377
+ },
378
+ {
379
+ "epoch": 0.7978723404255319,
380
+ "eval_loss": 0.8605104684829712,
381
+ "eval_runtime": 43.731,
382
+ "eval_samples_per_second": 6.86,
383
+ "eval_steps_per_second": 0.229,
384
+ "step": 75
385
+ },
386
+ {
387
+ "epoch": 0.8297872340425532,
388
+ "grad_norm": 74.29925537109375,
389
+ "learning_rate": 3.427581714393859e-06,
390
+ "loss": 1.0591,
391
+ "step": 78
392
+ },
393
+ {
394
+ "epoch": 0.8297872340425532,
395
+ "eval_loss": 0.8572540283203125,
396
+ "eval_runtime": 43.0132,
397
+ "eval_samples_per_second": 6.975,
398
+ "eval_steps_per_second": 0.232,
399
+ "step": 78
400
+ },
401
+ {
402
+ "epoch": 0.8617021276595744,
403
+ "grad_norm": 80.95857238769531,
404
+ "learning_rate": 3.37717610094689e-06,
405
+ "loss": 0.8628,
406
+ "step": 81
407
+ },
408
+ {
409
+ "epoch": 0.8617021276595744,
410
+ "eval_loss": 0.854705810546875,
411
+ "eval_runtime": 43.5041,
412
+ "eval_samples_per_second": 6.896,
413
+ "eval_steps_per_second": 0.23,
414
+ "step": 81
415
+ },
416
+ {
417
+ "epoch": 0.8936170212765957,
418
+ "grad_norm": 73.22078704833984,
419
+ "learning_rate": 3.3267704874999216e-06,
420
+ "loss": 0.8449,
421
+ "step": 84
422
+ },
423
+ {
424
+ "epoch": 0.8936170212765957,
425
+ "eval_loss": 0.8551430106163025,
426
+ "eval_runtime": 43.3103,
427
+ "eval_samples_per_second": 6.927,
428
+ "eval_steps_per_second": 0.231,
429
+ "step": 84
430
+ },
431
+ {
432
+ "epoch": 0.925531914893617,
433
+ "grad_norm": 81.8653564453125,
434
+ "learning_rate": 3.2763648740529535e-06,
435
+ "loss": 0.8565,
436
+ "step": 87
437
+ },
438
+ {
439
+ "epoch": 0.925531914893617,
440
+ "eval_loss": 0.8558651804924011,
441
+ "eval_runtime": 43.4899,
442
+ "eval_samples_per_second": 6.898,
443
+ "eval_steps_per_second": 0.23,
444
+ "step": 87
445
+ },
446
+ {
447
+ "epoch": 0.9574468085106383,
448
+ "grad_norm": 97.51951599121094,
449
+ "learning_rate": 3.2259592606059844e-06,
450
+ "loss": 0.8928,
451
+ "step": 90
452
+ },
453
+ {
454
+ "epoch": 0.9574468085106383,
455
+ "eval_loss": 0.8567631244659424,
456
+ "eval_runtime": 43.4864,
457
+ "eval_samples_per_second": 6.899,
458
+ "eval_steps_per_second": 0.23,
459
+ "step": 90
460
+ },
461
+ {
462
+ "epoch": 0.9893617021276596,
463
+ "grad_norm": 60.12514114379883,
464
+ "learning_rate": 3.1755536471590163e-06,
465
+ "loss": 0.7314,
466
+ "step": 93
467
+ },
468
+ {
469
+ "epoch": 0.9893617021276596,
470
+ "eval_loss": 0.8565493822097778,
471
+ "eval_runtime": 22.6087,
472
+ "eval_samples_per_second": 13.269,
473
+ "eval_steps_per_second": 0.442,
474
+ "step": 93
475
+ },
476
+ {
477
+ "epoch": 1.0212765957446808,
478
+ "grad_norm": 57.255775451660156,
479
+ "learning_rate": 3.1251480337120472e-06,
480
+ "loss": 0.7931,
481
+ "step": 96
482
+ },
483
+ {
484
+ "epoch": 1.0212765957446808,
485
+ "eval_loss": 0.8531547784805298,
486
+ "eval_runtime": 23.9019,
487
+ "eval_samples_per_second": 12.551,
488
+ "eval_steps_per_second": 0.418,
489
+ "step": 96
490
+ },
491
+ {
492
+ "epoch": 1.053191489361702,
493
+ "grad_norm": 43.00119400024414,
494
+ "learning_rate": 3.074742420265079e-06,
495
+ "loss": 0.3847,
496
+ "step": 99
497
+ },
498
+ {
499
+ "epoch": 1.053191489361702,
500
+ "eval_loss": 0.84489506483078,
501
+ "eval_runtime": 23.0798,
502
+ "eval_samples_per_second": 12.998,
503
+ "eval_steps_per_second": 0.433,
504
+ "step": 99
505
+ },
506
+ {
507
+ "epoch": 1.0851063829787233,
508
+ "grad_norm": 21.35872459411621,
509
+ "learning_rate": 3.024336806818111e-06,
510
+ "loss": 0.252,
511
+ "step": 102
512
+ },
513
+ {
514
+ "epoch": 1.0851063829787233,
515
+ "eval_loss": 0.8377478122711182,
516
+ "eval_runtime": 23.6666,
517
+ "eval_samples_per_second": 12.676,
518
+ "eval_steps_per_second": 0.423,
519
+ "step": 102
520
+ },
521
+ {
522
+ "epoch": 1.1170212765957448,
523
+ "grad_norm": 42.683170318603516,
524
+ "learning_rate": 2.973931193371142e-06,
525
+ "loss": 0.2581,
526
+ "step": 105
527
+ },
528
+ {
529
+ "epoch": 1.1170212765957448,
530
+ "eval_loss": 0.832615315914154,
531
+ "eval_runtime": 22.1568,
532
+ "eval_samples_per_second": 13.54,
533
+ "eval_steps_per_second": 0.451,
534
+ "step": 105
535
+ },
536
+ {
537
+ "epoch": 1.148936170212766,
538
+ "grad_norm": 36.07487487792969,
539
+ "learning_rate": 2.9235255799241737e-06,
540
+ "loss": 0.272,
541
+ "step": 108
542
+ },
543
+ {
544
+ "epoch": 1.148936170212766,
545
+ "eval_loss": 0.8290462493896484,
546
+ "eval_runtime": 23.4484,
547
+ "eval_samples_per_second": 12.794,
548
+ "eval_steps_per_second": 0.426,
549
+ "step": 108
550
+ },
551
+ {
552
+ "epoch": 1.1808510638297873,
553
+ "grad_norm": 25.169939041137695,
554
+ "learning_rate": 2.873119966477205e-06,
555
+ "loss": 0.3822,
556
+ "step": 111
557
+ },
558
+ {
559
+ "epoch": 1.1808510638297873,
560
+ "eval_loss": 0.8273450136184692,
561
+ "eval_runtime": 22.2076,
562
+ "eval_samples_per_second": 13.509,
563
+ "eval_steps_per_second": 0.45,
564
+ "step": 111
565
+ },
566
+ {
567
+ "epoch": 1.2127659574468086,
568
+ "grad_norm": 43.500083923339844,
569
+ "learning_rate": 2.8227143530302365e-06,
570
+ "loss": 0.3555,
571
+ "step": 114
572
+ },
573
+ {
574
+ "epoch": 1.2127659574468086,
575
+ "eval_loss": 0.825173020362854,
576
+ "eval_runtime": 23.9364,
577
+ "eval_samples_per_second": 12.533,
578
+ "eval_steps_per_second": 0.418,
579
+ "step": 114
580
+ },
581
+ {
582
+ "epoch": 1.2446808510638299,
583
+ "grad_norm": 47.19260787963867,
584
+ "learning_rate": 2.772308739583268e-06,
585
+ "loss": 0.2687,
586
+ "step": 117
587
+ },
588
+ {
589
+ "epoch": 1.2446808510638299,
590
+ "eval_loss": 0.8255329132080078,
591
+ "eval_runtime": 22.128,
592
+ "eval_samples_per_second": 13.558,
593
+ "eval_steps_per_second": 0.452,
594
+ "step": 117
595
+ },
596
+ {
597
+ "epoch": 1.2765957446808511,
598
+ "grad_norm": 47.747982025146484,
599
+ "learning_rate": 2.7219031261362997e-06,
600
+ "loss": 0.2614,
601
+ "step": 120
602
+ },
603
+ {
604
+ "epoch": 1.2765957446808511,
605
+ "eval_loss": 0.8268000483512878,
606
+ "eval_runtime": 23.832,
607
+ "eval_samples_per_second": 12.588,
608
+ "eval_steps_per_second": 0.42,
609
+ "step": 120
610
+ },
611
+ {
612
+ "epoch": 1.3085106382978724,
613
+ "grad_norm": 52.21699142456055,
614
+ "learning_rate": 2.671497512689331e-06,
615
+ "loss": 0.3726,
616
+ "step": 123
617
+ },
618
+ {
619
+ "epoch": 1.3085106382978724,
620
+ "eval_loss": 0.8281159400939941,
621
+ "eval_runtime": 22.7023,
622
+ "eval_samples_per_second": 13.215,
623
+ "eval_steps_per_second": 0.44,
624
+ "step": 123
625
+ },
626
+ {
627
+ "epoch": 1.3404255319148937,
628
+ "grad_norm": 43.84182357788086,
629
+ "learning_rate": 2.6210918992423625e-06,
630
+ "loss": 0.2081,
631
+ "step": 126
632
+ },
633
+ {
634
+ "epoch": 1.3404255319148937,
635
+ "eval_loss": 0.8298842310905457,
636
+ "eval_runtime": 23.5811,
637
+ "eval_samples_per_second": 12.722,
638
+ "eval_steps_per_second": 0.424,
639
+ "step": 126
640
+ },
641
+ {
642
+ "epoch": 1.372340425531915,
643
+ "grad_norm": 35.47488021850586,
644
+ "learning_rate": 2.570686285795394e-06,
645
+ "loss": 0.2363,
646
+ "step": 129
647
+ },
648
+ {
649
+ "epoch": 1.372340425531915,
650
+ "eval_loss": 0.8358010053634644,
651
+ "eval_runtime": 22.1111,
652
+ "eval_samples_per_second": 13.568,
653
+ "eval_steps_per_second": 0.452,
654
+ "step": 129
655
+ },
656
+ {
657
+ "epoch": 1.4042553191489362,
658
+ "grad_norm": 47.503395080566406,
659
+ "learning_rate": 2.5202806723484253e-06,
660
+ "loss": 0.3497,
661
+ "step": 132
662
+ },
663
+ {
664
+ "epoch": 1.4042553191489362,
665
+ "eval_loss": 0.8382316827774048,
666
+ "eval_runtime": 23.6168,
667
+ "eval_samples_per_second": 12.703,
668
+ "eval_steps_per_second": 0.423,
669
+ "step": 132
670
+ },
671
+ {
672
+ "epoch": 1.4361702127659575,
673
+ "grad_norm": 43.59933853149414,
674
+ "learning_rate": 2.469875058901457e-06,
675
+ "loss": 0.2927,
676
+ "step": 135
677
+ },
678
+ {
679
+ "epoch": 1.4361702127659575,
680
+ "eval_loss": 0.8399573564529419,
681
+ "eval_runtime": 22.1313,
682
+ "eval_samples_per_second": 13.555,
683
+ "eval_steps_per_second": 0.452,
684
+ "step": 135
685
+ },
686
+ {
687
+ "epoch": 1.4680851063829787,
688
+ "grad_norm": 46.75539779663086,
689
+ "learning_rate": 2.419469445454488e-06,
690
+ "loss": 0.3142,
691
+ "step": 138
692
+ },
693
+ {
694
+ "epoch": 1.4680851063829787,
695
+ "eval_loss": 0.841060996055603,
696
+ "eval_runtime": 24.0437,
697
+ "eval_samples_per_second": 12.477,
698
+ "eval_steps_per_second": 0.416,
699
+ "step": 138
700
+ },
701
+ {
702
+ "epoch": 1.5,
703
+ "grad_norm": 47.08267593383789,
704
+ "learning_rate": 2.36906383200752e-06,
705
+ "loss": 0.2303,
706
+ "step": 141
707
+ },
708
+ {
709
+ "epoch": 1.5,
710
+ "eval_loss": 0.8422343730926514,
711
+ "eval_runtime": 21.8892,
712
+ "eval_samples_per_second": 13.705,
713
+ "eval_steps_per_second": 0.457,
714
+ "step": 141
715
+ },
716
+ {
717
+ "epoch": 1.5319148936170213,
718
+ "grad_norm": 59.37859344482422,
719
+ "learning_rate": 2.3186582185605513e-06,
720
+ "loss": 0.2628,
721
+ "step": 144
722
+ },
723
+ {
724
+ "epoch": 1.5319148936170213,
725
+ "eval_loss": 0.843423068523407,
726
+ "eval_runtime": 23.5581,
727
+ "eval_samples_per_second": 12.735,
728
+ "eval_steps_per_second": 0.424,
729
+ "step": 144
730
+ },
731
+ {
732
+ "epoch": 1.5638297872340425,
733
+ "grad_norm": 66.62377166748047,
734
+ "learning_rate": 2.268252605113583e-06,
735
+ "loss": 0.2734,
736
+ "step": 147
737
+ },
738
+ {
739
+ "epoch": 1.5638297872340425,
740
+ "eval_loss": 0.8458875417709351,
741
+ "eval_runtime": 22.7309,
742
+ "eval_samples_per_second": 13.198,
743
+ "eval_steps_per_second": 0.44,
744
+ "step": 147
745
+ },
746
+ {
747
+ "epoch": 1.5957446808510638,
748
+ "grad_norm": 65.94501495361328,
749
+ "learning_rate": 2.2178469916666146e-06,
750
+ "loss": 0.2989,
751
+ "step": 150
752
+ },
753
+ {
754
+ "epoch": 1.5957446808510638,
755
+ "eval_loss": 0.8469556570053101,
756
+ "eval_runtime": 23.6111,
757
+ "eval_samples_per_second": 12.706,
758
+ "eval_steps_per_second": 0.424,
759
+ "step": 150
760
+ },
761
+ {
762
+ "epoch": 1.627659574468085,
763
+ "grad_norm": 99.2269287109375,
764
+ "learning_rate": 2.167441378219646e-06,
765
+ "loss": 0.3895,
766
+ "step": 153
767
+ },
768
+ {
769
+ "epoch": 1.627659574468085,
770
+ "eval_loss": 0.8473237752914429,
771
+ "eval_runtime": 22.2962,
772
+ "eval_samples_per_second": 13.455,
773
+ "eval_steps_per_second": 0.449,
774
+ "step": 153
775
+ },
776
+ {
777
+ "epoch": 1.6595744680851063,
778
+ "grad_norm": 45.91320037841797,
779
+ "learning_rate": 2.1170357647726774e-06,
780
+ "loss": 0.3273,
781
+ "step": 156
782
+ },
783
+ {
784
+ "epoch": 1.6595744680851063,
785
+ "eval_loss": 0.8420724868774414,
786
+ "eval_runtime": 24.0122,
787
+ "eval_samples_per_second": 12.494,
788
+ "eval_steps_per_second": 0.416,
789
+ "step": 156
790
+ },
791
+ {
792
+ "epoch": 1.6914893617021276,
793
+ "grad_norm": 52.12400817871094,
794
+ "learning_rate": 2.0666301513257088e-06,
795
+ "loss": 0.2508,
796
+ "step": 159
797
+ },
798
+ {
799
+ "epoch": 1.6914893617021276,
800
+ "eval_loss": 0.8369884490966797,
801
+ "eval_runtime": 22.131,
802
+ "eval_samples_per_second": 13.556,
803
+ "eval_steps_per_second": 0.452,
804
+ "step": 159
805
+ },
806
+ {
807
+ "epoch": 1.7234042553191489,
808
+ "grad_norm": 59.420372009277344,
809
+ "learning_rate": 2.0162245378787406e-06,
810
+ "loss": 0.2143,
811
+ "step": 162
812
+ },
813
+ {
814
+ "epoch": 1.7234042553191489,
815
+ "eval_loss": 0.8358878493309021,
816
+ "eval_runtime": 23.6554,
817
+ "eval_samples_per_second": 12.682,
818
+ "eval_steps_per_second": 0.423,
819
+ "step": 162
820
+ },
821
+ {
822
+ "epoch": 1.7553191489361701,
823
+ "grad_norm": 53.903350830078125,
824
+ "learning_rate": 1.965818924431772e-06,
825
+ "loss": 0.2337,
826
+ "step": 165
827
+ },
828
+ {
829
+ "epoch": 1.7553191489361701,
830
+ "eval_loss": 0.8342965841293335,
831
+ "eval_runtime": 22.1781,
832
+ "eval_samples_per_second": 13.527,
833
+ "eval_steps_per_second": 0.451,
834
+ "step": 165
835
+ },
836
+ {
837
+ "epoch": 1.7872340425531914,
838
+ "grad_norm": 37.46884536743164,
839
+ "learning_rate": 1.9154133109848034e-06,
840
+ "loss": 0.1867,
841
+ "step": 168
842
+ },
843
+ {
844
+ "epoch": 1.7872340425531914,
845
+ "eval_loss": 0.8319395184516907,
846
+ "eval_runtime": 23.6724,
847
+ "eval_samples_per_second": 12.673,
848
+ "eval_steps_per_second": 0.422,
849
+ "step": 168
850
+ },
851
+ {
852
+ "epoch": 1.8191489361702127,
853
+ "grad_norm": 73.817138671875,
854
+ "learning_rate": 1.865007697537835e-06,
855
+ "loss": 0.3836,
856
+ "step": 171
857
+ },
858
+ {
859
+ "epoch": 1.8191489361702127,
860
+ "eval_loss": 0.8294512033462524,
861
+ "eval_runtime": 22.7496,
862
+ "eval_samples_per_second": 13.187,
863
+ "eval_steps_per_second": 0.44,
864
+ "step": 171
865
+ },
866
+ {
867
+ "epoch": 1.851063829787234,
868
+ "grad_norm": 66.78804016113281,
869
+ "learning_rate": 1.8146020840908664e-06,
870
+ "loss": 0.2939,
871
+ "step": 174
872
+ },
873
+ {
874
+ "epoch": 1.851063829787234,
875
+ "eval_loss": 0.8301381468772888,
876
+ "eval_runtime": 23.7921,
877
+ "eval_samples_per_second": 12.609,
878
+ "eval_steps_per_second": 0.42,
879
+ "step": 174
880
+ },
881
+ {
882
+ "epoch": 1.8829787234042552,
883
+ "grad_norm": 27.3295841217041,
884
+ "learning_rate": 1.7641964706438978e-06,
885
+ "loss": 0.2702,
886
+ "step": 177
887
+ },
888
+ {
889
+ "epoch": 1.8829787234042552,
890
+ "eval_loss": 0.8287379741668701,
891
+ "eval_runtime": 22.3208,
892
+ "eval_samples_per_second": 13.44,
893
+ "eval_steps_per_second": 0.448,
894
+ "step": 177
895
+ },
896
+ {
897
+ "epoch": 1.9148936170212765,
898
+ "grad_norm": 34.200496673583984,
899
+ "learning_rate": 1.7137908571969294e-06,
900
+ "loss": 0.1949,
901
+ "step": 180
902
+ },
903
+ {
904
+ "epoch": 1.9148936170212765,
905
+ "eval_loss": 0.827938437461853,
906
+ "eval_runtime": 23.7637,
907
+ "eval_samples_per_second": 12.624,
908
+ "eval_steps_per_second": 0.421,
909
+ "step": 180
910
+ },
911
+ {
912
+ "epoch": 1.9468085106382977,
913
+ "grad_norm": 57.093162536621094,
914
+ "learning_rate": 1.6633852437499608e-06,
915
+ "loss": 0.2186,
916
+ "step": 183
917
+ },
918
+ {
919
+ "epoch": 1.9468085106382977,
920
+ "eval_loss": 0.8297010064125061,
921
+ "eval_runtime": 22.4348,
922
+ "eval_samples_per_second": 13.372,
923
+ "eval_steps_per_second": 0.446,
924
+ "step": 183
925
+ },
926
+ {
927
+ "epoch": 1.978723404255319,
928
+ "grad_norm": 54.119667053222656,
929
+ "learning_rate": 1.6129796303029922e-06,
930
+ "loss": 0.2609,
931
+ "step": 186
932
+ },
933
+ {
934
+ "epoch": 1.978723404255319,
935
+ "eval_loss": 0.8327953219413757,
936
+ "eval_runtime": 24.1101,
937
+ "eval_samples_per_second": 12.443,
938
+ "eval_steps_per_second": 0.415,
939
+ "step": 186
940
+ },
941
+ {
942
+ "epoch": 2.0106382978723403,
943
+ "grad_norm": 34.58624267578125,
944
+ "learning_rate": 1.5625740168560236e-06,
945
+ "loss": 0.1952,
946
+ "step": 189
947
+ },
948
+ {
949
+ "epoch": 2.0106382978723403,
950
+ "eval_loss": 0.8341763615608215,
951
+ "eval_runtime": 45.5245,
952
+ "eval_samples_per_second": 6.59,
953
+ "eval_steps_per_second": 0.22,
954
+ "step": 189
955
+ },
956
+ {
957
+ "epoch": 2.0425531914893615,
958
+ "grad_norm": 35.64149856567383,
959
+ "learning_rate": 1.5121684034090554e-06,
960
+ "loss": 0.0993,
961
+ "step": 192
962
+ },
963
+ {
964
+ "epoch": 2.0425531914893615,
965
+ "eval_loss": 0.837165355682373,
966
+ "eval_runtime": 13.0218,
967
+ "eval_samples_per_second": 23.038,
968
+ "eval_steps_per_second": 0.768,
969
+ "step": 192
970
+ },
971
+ {
972
+ "epoch": 2.074468085106383,
973
+ "grad_norm": 50.38720703125,
974
+ "learning_rate": 1.4617627899620868e-06,
975
+ "loss": 0.1409,
976
+ "step": 195
977
+ },
978
+ {
979
+ "epoch": 2.074468085106383,
980
+ "eval_loss": 0.8386108875274658,
981
+ "eval_runtime": 32.929,
982
+ "eval_samples_per_second": 9.11,
983
+ "eval_steps_per_second": 0.304,
984
+ "step": 195
985
+ },
986
+ {
987
+ "epoch": 2.106382978723404,
988
+ "grad_norm": 28.053754806518555,
989
+ "learning_rate": 1.4113571765151182e-06,
990
+ "loss": 0.0522,
991
+ "step": 198
992
+ },
993
+ {
994
+ "epoch": 2.106382978723404,
995
+ "eval_loss": 0.8413487076759338,
996
+ "eval_runtime": 13.422,
997
+ "eval_samples_per_second": 22.351,
998
+ "eval_steps_per_second": 0.745,
999
+ "step": 198
1000
+ },
1001
+ {
1002
+ "epoch": 2.1382978723404253,
1003
+ "grad_norm": 48.99291229248047,
1004
+ "learning_rate": 1.3609515630681499e-06,
1005
+ "loss": 0.123,
1006
+ "step": 201
1007
+ },
1008
+ {
1009
+ "epoch": 2.1382978723404253,
1010
+ "eval_loss": 0.8437539339065552,
1011
+ "eval_runtime": 32.9133,
1012
+ "eval_samples_per_second": 9.115,
1013
+ "eval_steps_per_second": 0.304,
1014
+ "step": 201
1015
+ },
1016
+ {
1017
+ "epoch": 2.1702127659574466,
1018
+ "grad_norm": 30.540855407714844,
1019
+ "learning_rate": 1.3105459496211813e-06,
1020
+ "loss": 0.0946,
1021
+ "step": 204
1022
+ },
1023
+ {
1024
+ "epoch": 2.1702127659574466,
1025
+ "eval_loss": 0.8469984531402588,
1026
+ "eval_runtime": 12.8212,
1027
+ "eval_samples_per_second": 23.399,
1028
+ "eval_steps_per_second": 0.78,
1029
+ "step": 204
1030
+ },
1031
+ {
1032
+ "epoch": 2.202127659574468,
1033
+ "grad_norm": 65.50384521484375,
1034
+ "learning_rate": 1.2601403361742127e-06,
1035
+ "loss": 0.2346,
1036
+ "step": 207
1037
+ },
1038
+ {
1039
+ "epoch": 2.202127659574468,
1040
+ "eval_loss": 0.8491196036338806,
1041
+ "eval_runtime": 33.0116,
1042
+ "eval_samples_per_second": 9.088,
1043
+ "eval_steps_per_second": 0.303,
1044
+ "step": 207
1045
+ },
1046
+ {
1047
+ "epoch": 2.2340425531914896,
1048
+ "grad_norm": 37.9770622253418,
1049
+ "learning_rate": 1.209734722727244e-06,
1050
+ "loss": 0.1445,
1051
+ "step": 210
1052
+ },
1053
+ {
1054
+ "epoch": 2.2340425531914896,
1055
+ "eval_loss": 0.8509886860847473,
1056
+ "eval_runtime": 12.9443,
1057
+ "eval_samples_per_second": 23.176,
1058
+ "eval_steps_per_second": 0.773,
1059
+ "step": 210
1060
+ },
1061
+ {
1062
+ "epoch": 2.2659574468085104,
1063
+ "grad_norm": 34.36880111694336,
1064
+ "learning_rate": 1.1593291092802757e-06,
1065
+ "loss": 0.1112,
1066
+ "step": 213
1067
+ },
1068
+ {
1069
+ "epoch": 2.2659574468085104,
1070
+ "eval_loss": 0.8533729910850525,
1071
+ "eval_runtime": 33.1181,
1072
+ "eval_samples_per_second": 9.058,
1073
+ "eval_steps_per_second": 0.302,
1074
+ "step": 213
1075
+ },
1076
+ {
1077
+ "epoch": 2.297872340425532,
1078
+ "grad_norm": 45.28392028808594,
1079
+ "learning_rate": 1.1089234958333073e-06,
1080
+ "loss": 0.113,
1081
+ "step": 216
1082
+ },
1083
+ {
1084
+ "epoch": 2.297872340425532,
1085
+ "eval_loss": 0.8565312623977661,
1086
+ "eval_runtime": 12.9159,
1087
+ "eval_samples_per_second": 23.227,
1088
+ "eval_steps_per_second": 0.774,
1089
+ "step": 216
1090
+ },
1091
+ {
1092
+ "epoch": 2.329787234042553,
1093
+ "grad_norm": 24.961444854736328,
1094
+ "learning_rate": 1.0585178823863387e-06,
1095
+ "loss": 0.0929,
1096
+ "step": 219
1097
+ },
1098
+ {
1099
+ "epoch": 2.329787234042553,
1100
+ "eval_loss": 0.859375,
1101
+ "eval_runtime": 32.6853,
1102
+ "eval_samples_per_second": 9.178,
1103
+ "eval_steps_per_second": 0.306,
1104
+ "step": 219
1105
+ },
1106
+ {
1107
+ "epoch": 2.3617021276595747,
1108
+ "grad_norm": 22.85188865661621,
1109
+ "learning_rate": 1.0081122689393703e-06,
1110
+ "loss": 0.1108,
1111
+ "step": 222
1112
+ },
1113
+ {
1114
+ "epoch": 2.3617021276595747,
1115
+ "eval_loss": 0.8612162470817566,
1116
+ "eval_runtime": 13.8881,
1117
+ "eval_samples_per_second": 21.601,
1118
+ "eval_steps_per_second": 0.72,
1119
+ "step": 222
1120
+ },
1121
+ {
1122
+ "epoch": 2.393617021276596,
1123
+ "grad_norm": 20.546833038330078,
1124
+ "learning_rate": 9.577066554924017e-07,
1125
+ "loss": 0.092,
1126
+ "step": 225
1127
+ },
1128
+ {
1129
+ "epoch": 2.393617021276596,
1130
+ "eval_loss": 0.8626397848129272,
1131
+ "eval_runtime": 32.9393,
1132
+ "eval_samples_per_second": 9.108,
1133
+ "eval_steps_per_second": 0.304,
1134
+ "step": 225
1135
+ },
1136
+ {
1137
+ "epoch": 2.425531914893617,
1138
+ "grad_norm": 36.019561767578125,
1139
+ "learning_rate": 9.073010420454332e-07,
1140
+ "loss": 0.0641,
1141
+ "step": 228
1142
+ },
1143
+ {
1144
+ "epoch": 2.425531914893617,
1145
+ "eval_loss": 0.8644223809242249,
1146
+ "eval_runtime": 12.991,
1147
+ "eval_samples_per_second": 23.093,
1148
+ "eval_steps_per_second": 0.77,
1149
+ "step": 228
1150
+ },
1151
+ {
1152
+ "epoch": 2.4574468085106385,
1153
+ "grad_norm": 15.907193183898926,
1154
+ "learning_rate": 8.568954285984647e-07,
1155
+ "loss": 0.0437,
1156
+ "step": 231
1157
+ },
1158
+ {
1159
+ "epoch": 2.4574468085106385,
1160
+ "eval_loss": 0.8656131029129028,
1161
+ "eval_runtime": 33.0386,
1162
+ "eval_samples_per_second": 9.08,
1163
+ "eval_steps_per_second": 0.303,
1164
+ "step": 231
1165
+ },
1166
+ {
1167
+ "epoch": 2.4893617021276597,
1168
+ "grad_norm": 30.25502586364746,
1169
+ "learning_rate": 8.064898151514961e-07,
1170
+ "loss": 0.097,
1171
+ "step": 234
1172
+ },
1173
+ {
1174
+ "epoch": 2.4893617021276597,
1175
+ "eval_loss": 0.8662587404251099,
1176
+ "eval_runtime": 12.9969,
1177
+ "eval_samples_per_second": 23.082,
1178
+ "eval_steps_per_second": 0.769,
1179
+ "step": 234
1180
+ },
1181
+ {
1182
+ "epoch": 2.521276595744681,
1183
+ "grad_norm": 34.13824462890625,
1184
+ "learning_rate": 7.560842017045277e-07,
1185
+ "loss": 0.1028,
1186
+ "step": 237
1187
+ },
1188
+ {
1189
+ "epoch": 2.521276595744681,
1190
+ "eval_loss": 0.8667454123497009,
1191
+ "eval_runtime": 33.0579,
1192
+ "eval_samples_per_second": 9.075,
1193
+ "eval_steps_per_second": 0.302,
1194
+ "step": 237
1195
+ },
1196
+ {
1197
+ "epoch": 2.5531914893617023,
1198
+ "grad_norm": 47.30521011352539,
1199
+ "learning_rate": 7.056785882575591e-07,
1200
+ "loss": 0.1503,
1201
+ "step": 240
1202
+ },
1203
+ {
1204
+ "epoch": 2.5531914893617023,
1205
+ "eval_loss": 0.8677744269371033,
1206
+ "eval_runtime": 12.8958,
1207
+ "eval_samples_per_second": 23.263,
1208
+ "eval_steps_per_second": 0.775,
1209
+ "step": 240
1210
+ },
1211
+ {
1212
+ "epoch": 2.5851063829787235,
1213
+ "grad_norm": 40.989444732666016,
1214
+ "learning_rate": 6.552729748105906e-07,
1215
+ "loss": 0.1286,
1216
+ "step": 243
1217
+ },
1218
+ {
1219
+ "epoch": 2.5851063829787235,
1220
+ "eval_loss": 0.8686262965202332,
1221
+ "eval_runtime": 33.1611,
1222
+ "eval_samples_per_second": 9.047,
1223
+ "eval_steps_per_second": 0.302,
1224
+ "step": 243
1225
+ },
1226
+ {
1227
+ "epoch": 2.617021276595745,
1228
+ "grad_norm": 58.63330841064453,
1229
+ "learning_rate": 6.04867361363622e-07,
1230
+ "loss": 0.1938,
1231
+ "step": 246
1232
+ },
1233
+ {
1234
+ "epoch": 2.617021276595745,
1235
+ "eval_loss": 0.8695897459983826,
1236
+ "eval_runtime": 13.2572,
1237
+ "eval_samples_per_second": 22.629,
1238
+ "eval_steps_per_second": 0.754,
1239
+ "step": 246
1240
+ },
1241
+ {
1242
+ "epoch": 2.648936170212766,
1243
+ "grad_norm": 25.59177017211914,
1244
+ "learning_rate": 5.544617479166536e-07,
1245
+ "loss": 0.0655,
1246
+ "step": 249
1247
+ },
1248
+ {
1249
+ "epoch": 2.648936170212766,
1250
+ "eval_loss": 0.8699460029602051,
1251
+ "eval_runtime": 33.2452,
1252
+ "eval_samples_per_second": 9.024,
1253
+ "eval_steps_per_second": 0.301,
1254
+ "step": 249
1255
+ },
1256
+ {
1257
+ "epoch": 2.6808510638297873,
1258
+ "grad_norm": 10.76020622253418,
1259
+ "learning_rate": 5.040561344696851e-07,
1260
+ "loss": 0.0638,
1261
+ "step": 252
1262
+ },
1263
+ {
1264
+ "epoch": 2.6808510638297873,
1265
+ "eval_loss": 0.8698618412017822,
1266
+ "eval_runtime": 13.4624,
1267
+ "eval_samples_per_second": 22.284,
1268
+ "eval_steps_per_second": 0.743,
1269
+ "step": 252
1270
+ },
1271
+ {
1272
+ "epoch": 2.7127659574468086,
1273
+ "grad_norm": 14.23372745513916,
1274
+ "learning_rate": 4.536505210227166e-07,
1275
+ "loss": 0.04,
1276
+ "step": 255
1277
+ },
1278
+ {
1279
+ "epoch": 2.7127659574468086,
1280
+ "eval_loss": 0.8700897097587585,
1281
+ "eval_runtime": 33.0408,
1282
+ "eval_samples_per_second": 9.08,
1283
+ "eval_steps_per_second": 0.303,
1284
+ "step": 255
1285
+ },
1286
+ {
1287
+ "epoch": 2.74468085106383,
1288
+ "grad_norm": 54.65508270263672,
1289
+ "learning_rate": 4.0324490757574806e-07,
1290
+ "loss": 0.158,
1291
+ "step": 258
1292
+ },
1293
+ {
1294
+ "epoch": 2.74468085106383,
1295
+ "eval_loss": 0.8706519603729248,
1296
+ "eval_runtime": 13.0406,
1297
+ "eval_samples_per_second": 23.005,
1298
+ "eval_steps_per_second": 0.767,
1299
+ "step": 258
1300
+ },
1301
+ {
1302
+ "epoch": 2.776595744680851,
1303
+ "grad_norm": 36.574066162109375,
1304
+ "learning_rate": 3.5283929412877956e-07,
1305
+ "loss": 0.0951,
1306
+ "step": 261
1307
+ },
1308
+ {
1309
+ "epoch": 2.776595744680851,
1310
+ "eval_loss": 0.871029794216156,
1311
+ "eval_runtime": 32.8987,
1312
+ "eval_samples_per_second": 9.119,
1313
+ "eval_steps_per_second": 0.304,
1314
+ "step": 261
1315
+ },
1316
+ {
1317
+ "epoch": 2.8085106382978724,
1318
+ "grad_norm": 32.9112434387207,
1319
+ "learning_rate": 3.02433680681811e-07,
1320
+ "loss": 0.0788,
1321
+ "step": 264
1322
+ },
1323
+ {
1324
+ "epoch": 2.8085106382978724,
1325
+ "eval_loss": 0.871411144733429,
1326
+ "eval_runtime": 12.964,
1327
+ "eval_samples_per_second": 23.141,
1328
+ "eval_steps_per_second": 0.771,
1329
+ "step": 264
1330
+ },
1331
+ {
1332
+ "epoch": 2.8404255319148937,
1333
+ "grad_norm": 26.687891006469727,
1334
+ "learning_rate": 2.520280672348426e-07,
1335
+ "loss": 0.0429,
1336
+ "step": 267
1337
+ },
1338
+ {
1339
+ "epoch": 2.8404255319148937,
1340
+ "eval_loss": 0.8717812299728394,
1341
+ "eval_runtime": 32.9027,
1342
+ "eval_samples_per_second": 9.118,
1343
+ "eval_steps_per_second": 0.304,
1344
+ "step": 267
1345
+ },
1346
+ {
1347
+ "epoch": 2.872340425531915,
1348
+ "grad_norm": 25.479427337646484,
1349
+ "learning_rate": 2.0162245378787403e-07,
1350
+ "loss": 0.0809,
1351
+ "step": 270
1352
+ },
1353
+ {
1354
+ "epoch": 2.872340425531915,
1355
+ "eval_loss": 0.8716564178466797,
1356
+ "eval_runtime": 12.9971,
1357
+ "eval_samples_per_second": 23.082,
1358
+ "eval_steps_per_second": 0.769,
1359
+ "step": 270
1360
+ },
1361
+ {
1362
+ "epoch": 2.904255319148936,
1363
+ "grad_norm": 14.731446266174316,
1364
+ "learning_rate": 1.512168403409055e-07,
1365
+ "loss": 0.0942,
1366
+ "step": 273
1367
+ },
1368
+ {
1369
+ "epoch": 2.904255319148936,
1370
+ "eval_loss": 0.8718379735946655,
1371
+ "eval_runtime": 33.0136,
1372
+ "eval_samples_per_second": 9.087,
1373
+ "eval_steps_per_second": 0.303,
1374
+ "step": 273
1375
+ },
1376
+ {
1377
+ "epoch": 2.9361702127659575,
1378
+ "grad_norm": 23.23249053955078,
1379
+ "learning_rate": 1.0081122689393701e-07,
1380
+ "loss": 0.1419,
1381
+ "step": 276
1382
+ },
1383
+ {
1384
+ "epoch": 2.9361702127659575,
1385
+ "eval_loss": 0.8720559477806091,
1386
+ "eval_runtime": 13.6301,
1387
+ "eval_samples_per_second": 22.01,
1388
+ "eval_steps_per_second": 0.734,
1389
+ "step": 276
1390
+ },
1391
+ {
1392
+ "epoch": 2.9680851063829787,
1393
+ "grad_norm": 42.01313400268555,
1394
+ "learning_rate": 5.040561344696851e-08,
1395
+ "loss": 0.1036,
1396
+ "step": 279
1397
+ },
1398
+ {
1399
+ "epoch": 2.9680851063829787,
1400
+ "eval_loss": 0.8721166253089905,
1401
+ "eval_runtime": 33.0448,
1402
+ "eval_samples_per_second": 9.079,
1403
+ "eval_steps_per_second": 0.303,
1404
+ "step": 279
1405
+ },
1406
+ {
1407
+ "epoch": 3.0,
1408
+ "grad_norm": 37.830604553222656,
1409
+ "learning_rate": 0.0,
1410
+ "loss": 0.0854,
1411
+ "step": 282
1412
+ },
1413
+ {
1414
+ "epoch": 3.0,
1415
+ "eval_loss": 0.8720741868019104,
1416
+ "eval_runtime": 12.8271,
1417
+ "eval_samples_per_second": 23.388,
1418
+ "eval_steps_per_second": 0.78,
1419
+ "step": 282
1420
+ }
1421
+ ],
1422
+ "logging_steps": 3,
1423
+ "max_steps": 282,
1424
+ "num_input_tokens_seen": 0,
1425
+ "num_train_epochs": 3,
1426
+ "save_steps": 500,
1427
+ "stateful_callbacks": {
1428
+ "TrainerControl": {
1429
+ "args": {
1430
+ "should_epoch_stop": false,
1431
+ "should_evaluate": false,
1432
+ "should_log": false,
1433
+ "should_save": true,
1434
+ "should_training_stop": true
1435
+ },
1436
+ "attributes": {}
1437
+ }
1438
+ },
1439
+ "total_flos": 523328480700102.0,
1440
+ "train_batch_size": 32,
1441
+ "trial_name": null,
1442
+ "trial_params": {
1443
+ "_wandb": {},
1444
+ "assignments": {},
1445
+ "decay": 0.01,
1446
+ "learning_rate": 4.73812766401504e-06,
1447
+ "metric": "eval/loss",
1448
+ "per_device_train_batch_size": 32
1449
+ }
1450
+ }
run-nk1o8cuk/checkpoint-282/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2de738072ec265745ad8ca14cff5e9c8d4d119457b017a3a3ec0e72524183c6b
3
+ size 5112
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:2d86bb05d90cbbd00a1f1cf5f3c393b725a27d5d5db68a93d4689e5f26efeed3
3
  size 5112
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2de738072ec265745ad8ca14cff5e9c8d4d119457b017a3a3ec0e72524183c6b
3
  size 5112