Grogros commited on
Commit
4073e80
·
verified ·
1 Parent(s): a3a55fc

Training in progress, step 2000, checkpoint

Browse files
checkpoint-2000/config.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "meta-llama/Llama-3.2-1B-Instruct",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 128000,
9
+ "eos_token_id": [
10
+ 128001,
11
+ 128008,
12
+ 128009
13
+ ],
14
+ "head_dim": 64,
15
+ "hidden_act": "silu",
16
+ "hidden_size": 2048,
17
+ "initializer_range": 0.02,
18
+ "intermediate_size": 8192,
19
+ "max_position_embeddings": 131072,
20
+ "mlp_bias": false,
21
+ "model_type": "llama",
22
+ "num_attention_heads": 32,
23
+ "num_hidden_layers": 16,
24
+ "num_key_value_heads": 8,
25
+ "pretraining_tp": 1,
26
+ "rms_norm_eps": 1e-05,
27
+ "rope_scaling": {
28
+ "factor": 32.0,
29
+ "high_freq_factor": 4.0,
30
+ "low_freq_factor": 1.0,
31
+ "original_max_position_embeddings": 8192,
32
+ "rope_type": "llama3"
33
+ },
34
+ "rope_theta": 500000.0,
35
+ "tie_word_embeddings": true,
36
+ "torch_dtype": "bfloat16",
37
+ "transformers_version": "4.46.3",
38
+ "use_cache": true,
39
+ "vocab_size": 128256
40
+ }
checkpoint-2000/generation_config.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 128000,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 128001,
6
+ 128008,
7
+ 128009
8
+ ],
9
+ "temperature": 0.6,
10
+ "top_p": 0.9,
11
+ "transformers_version": "4.46.3"
12
+ }
checkpoint-2000/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dbff99a51bc9abc86cf96beda38d549fad464bc980d043cbbd46daa57c335b7e
3
+ size 2471645608
checkpoint-2000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:43940f7012ef02d39321d4fe1dbceafbb41e9dd7a3ad92b189504862dc3544b0
3
+ size 3724602
checkpoint-2000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3cf9097d4513154245c48236b6ec5137b7ee2a21c9f58f2cba798ea275c6026f
3
+ size 14244
checkpoint-2000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fe6b601f8c77d93a0e053b92ea127a17aea5c5021426dfd754395ac532bf9532
3
+ size 1064
checkpoint-2000/trainer_state.json ADDED
@@ -0,0 +1,1433 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.34325,
5
+ "eval_steps": 500,
6
+ "global_step": 2000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.005,
13
+ "grad_norm": 37.0,
14
+ "learning_rate": 1.0000000000000002e-06,
15
+ "loss": 1.5359,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.01,
20
+ "grad_norm": 45.5,
21
+ "learning_rate": 2.0000000000000003e-06,
22
+ "loss": 1.4797,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.015,
27
+ "grad_norm": 21.625,
28
+ "learning_rate": 3e-06,
29
+ "loss": 1.3793,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.02,
34
+ "grad_norm": 19.625,
35
+ "learning_rate": 4.000000000000001e-06,
36
+ "loss": 1.26,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.025,
41
+ "grad_norm": 12.375,
42
+ "learning_rate": 5e-06,
43
+ "loss": 1.2473,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.03,
48
+ "grad_norm": 9.75,
49
+ "learning_rate": 6e-06,
50
+ "loss": 1.132,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.035,
55
+ "grad_norm": 8.4375,
56
+ "learning_rate": 7e-06,
57
+ "loss": 1.1854,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.04,
62
+ "grad_norm": 9.25,
63
+ "learning_rate": 8.000000000000001e-06,
64
+ "loss": 1.1473,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.045,
69
+ "grad_norm": 5.5,
70
+ "learning_rate": 9e-06,
71
+ "loss": 1.1484,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.05,
76
+ "grad_norm": 4.71875,
77
+ "learning_rate": 1e-05,
78
+ "loss": 1.1352,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.055,
83
+ "grad_norm": 5.6875,
84
+ "learning_rate": 1.1000000000000001e-05,
85
+ "loss": 1.0916,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.06,
90
+ "grad_norm": 4.90625,
91
+ "learning_rate": 1.2e-05,
92
+ "loss": 1.0473,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.065,
97
+ "grad_norm": 5.09375,
98
+ "learning_rate": 1.3000000000000001e-05,
99
+ "loss": 1.0576,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 0.07,
104
+ "grad_norm": 5.6875,
105
+ "learning_rate": 1.4e-05,
106
+ "loss": 1.0014,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 0.075,
111
+ "grad_norm": 5.4375,
112
+ "learning_rate": 1.5000000000000002e-05,
113
+ "loss": 1.015,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 0.08,
118
+ "grad_norm": 5.0625,
119
+ "learning_rate": 1.6000000000000003e-05,
120
+ "loss": 0.9674,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 0.085,
125
+ "grad_norm": 5.125,
126
+ "learning_rate": 1.7e-05,
127
+ "loss": 0.9754,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 0.09,
132
+ "grad_norm": 4.09375,
133
+ "learning_rate": 1.8e-05,
134
+ "loss": 0.9309,
135
+ "step": 180
136
+ },
137
+ {
138
+ "epoch": 0.095,
139
+ "grad_norm": 4.875,
140
+ "learning_rate": 1.9e-05,
141
+ "loss": 0.9158,
142
+ "step": 190
143
+ },
144
+ {
145
+ "epoch": 0.1,
146
+ "grad_norm": 117.5,
147
+ "learning_rate": 2e-05,
148
+ "loss": 0.9994,
149
+ "step": 200
150
+ },
151
+ {
152
+ "epoch": 0.105,
153
+ "grad_norm": 5.34375,
154
+ "learning_rate": 1.9998476951563914e-05,
155
+ "loss": 1.0623,
156
+ "step": 210
157
+ },
158
+ {
159
+ "epoch": 0.11,
160
+ "grad_norm": 19.0,
161
+ "learning_rate": 1.999390827019096e-05,
162
+ "loss": 1.007,
163
+ "step": 220
164
+ },
165
+ {
166
+ "epoch": 0.115,
167
+ "grad_norm": 5.21875,
168
+ "learning_rate": 1.9986295347545738e-05,
169
+ "loss": 0.867,
170
+ "step": 230
171
+ },
172
+ {
173
+ "epoch": 0.12,
174
+ "grad_norm": 3.640625,
175
+ "learning_rate": 1.9975640502598243e-05,
176
+ "loss": 0.852,
177
+ "step": 240
178
+ },
179
+ {
180
+ "epoch": 0.125,
181
+ "grad_norm": 4.40625,
182
+ "learning_rate": 1.9961946980917457e-05,
183
+ "loss": 0.8018,
184
+ "step": 250
185
+ },
186
+ {
187
+ "epoch": 0.13,
188
+ "grad_norm": 5.125,
189
+ "learning_rate": 1.9945218953682736e-05,
190
+ "loss": 0.9186,
191
+ "step": 260
192
+ },
193
+ {
194
+ "epoch": 0.135,
195
+ "grad_norm": 4.875,
196
+ "learning_rate": 1.9925461516413224e-05,
197
+ "loss": 0.804,
198
+ "step": 270
199
+ },
200
+ {
201
+ "epoch": 0.14,
202
+ "grad_norm": 3.71875,
203
+ "learning_rate": 1.9902680687415704e-05,
204
+ "loss": 0.817,
205
+ "step": 280
206
+ },
207
+ {
208
+ "epoch": 0.145,
209
+ "grad_norm": 4.125,
210
+ "learning_rate": 1.9876883405951378e-05,
211
+ "loss": 0.7372,
212
+ "step": 290
213
+ },
214
+ {
215
+ "epoch": 0.15,
216
+ "grad_norm": 3.5,
217
+ "learning_rate": 1.9848077530122083e-05,
218
+ "loss": 0.7237,
219
+ "step": 300
220
+ },
221
+ {
222
+ "epoch": 0.155,
223
+ "grad_norm": 3.375,
224
+ "learning_rate": 1.9816271834476642e-05,
225
+ "loss": 0.6707,
226
+ "step": 310
227
+ },
228
+ {
229
+ "epoch": 0.16,
230
+ "grad_norm": 4.21875,
231
+ "learning_rate": 1.9781476007338058e-05,
232
+ "loss": 0.7664,
233
+ "step": 320
234
+ },
235
+ {
236
+ "epoch": 0.165,
237
+ "grad_norm": 3.640625,
238
+ "learning_rate": 1.9743700647852356e-05,
239
+ "loss": 0.6838,
240
+ "step": 330
241
+ },
242
+ {
243
+ "epoch": 0.17,
244
+ "grad_norm": 4.25,
245
+ "learning_rate": 1.9702957262759964e-05,
246
+ "loss": 0.7225,
247
+ "step": 340
248
+ },
249
+ {
250
+ "epoch": 0.175,
251
+ "grad_norm": 3.625,
252
+ "learning_rate": 1.9659258262890683e-05,
253
+ "loss": 0.6754,
254
+ "step": 350
255
+ },
256
+ {
257
+ "epoch": 0.18,
258
+ "grad_norm": 3.546875,
259
+ "learning_rate": 1.961261695938319e-05,
260
+ "loss": 0.6344,
261
+ "step": 360
262
+ },
263
+ {
264
+ "epoch": 0.185,
265
+ "grad_norm": 3.546875,
266
+ "learning_rate": 1.9563047559630356e-05,
267
+ "loss": 0.6728,
268
+ "step": 370
269
+ },
270
+ {
271
+ "epoch": 0.19,
272
+ "grad_norm": 4.34375,
273
+ "learning_rate": 1.9510565162951538e-05,
274
+ "loss": 0.7283,
275
+ "step": 380
276
+ },
277
+ {
278
+ "epoch": 0.195,
279
+ "grad_norm": 3.671875,
280
+ "learning_rate": 1.945518575599317e-05,
281
+ "loss": 0.666,
282
+ "step": 390
283
+ },
284
+ {
285
+ "epoch": 0.2,
286
+ "grad_norm": 4.4375,
287
+ "learning_rate": 1.9396926207859085e-05,
288
+ "loss": 0.6756,
289
+ "step": 400
290
+ },
291
+ {
292
+ "epoch": 0.205,
293
+ "grad_norm": 3.71875,
294
+ "learning_rate": 1.9335804264972018e-05,
295
+ "loss": 0.6558,
296
+ "step": 410
297
+ },
298
+ {
299
+ "epoch": 0.21,
300
+ "grad_norm": 3.234375,
301
+ "learning_rate": 1.9271838545667876e-05,
302
+ "loss": 0.6243,
303
+ "step": 420
304
+ },
305
+ {
306
+ "epoch": 0.215,
307
+ "grad_norm": 3.90625,
308
+ "learning_rate": 1.9205048534524405e-05,
309
+ "loss": 0.6519,
310
+ "step": 430
311
+ },
312
+ {
313
+ "epoch": 0.22,
314
+ "grad_norm": 3.375,
315
+ "learning_rate": 1.913545457642601e-05,
316
+ "loss": 0.626,
317
+ "step": 440
318
+ },
319
+ {
320
+ "epoch": 0.225,
321
+ "grad_norm": 3.78125,
322
+ "learning_rate": 1.9063077870366504e-05,
323
+ "loss": 0.6592,
324
+ "step": 450
325
+ },
326
+ {
327
+ "epoch": 0.23,
328
+ "grad_norm": 3.75,
329
+ "learning_rate": 1.8987940462991673e-05,
330
+ "loss": 0.5869,
331
+ "step": 460
332
+ },
333
+ {
334
+ "epoch": 0.235,
335
+ "grad_norm": 4.25,
336
+ "learning_rate": 1.891006524188368e-05,
337
+ "loss": 0.6157,
338
+ "step": 470
339
+ },
340
+ {
341
+ "epoch": 0.24,
342
+ "grad_norm": 2.78125,
343
+ "learning_rate": 1.8829475928589272e-05,
344
+ "loss": 0.5537,
345
+ "step": 480
346
+ },
347
+ {
348
+ "epoch": 0.245,
349
+ "grad_norm": 2.734375,
350
+ "learning_rate": 1.874619707139396e-05,
351
+ "loss": 0.631,
352
+ "step": 490
353
+ },
354
+ {
355
+ "epoch": 0.25,
356
+ "grad_norm": 3.875,
357
+ "learning_rate": 1.866025403784439e-05,
358
+ "loss": 0.5853,
359
+ "step": 500
360
+ },
361
+ {
362
+ "epoch": 0.255,
363
+ "grad_norm": 2.46875,
364
+ "learning_rate": 1.8571673007021124e-05,
365
+ "loss": 0.5669,
366
+ "step": 510
367
+ },
368
+ {
369
+ "epoch": 0.26,
370
+ "grad_norm": 4.75,
371
+ "learning_rate": 1.848048096156426e-05,
372
+ "loss": 0.5251,
373
+ "step": 520
374
+ },
375
+ {
376
+ "epoch": 0.265,
377
+ "grad_norm": 3.40625,
378
+ "learning_rate": 1.8386705679454243e-05,
379
+ "loss": 0.5188,
380
+ "step": 530
381
+ },
382
+ {
383
+ "epoch": 0.27,
384
+ "grad_norm": 3.609375,
385
+ "learning_rate": 1.8290375725550417e-05,
386
+ "loss": 0.5289,
387
+ "step": 540
388
+ },
389
+ {
390
+ "epoch": 0.275,
391
+ "grad_norm": 2.953125,
392
+ "learning_rate": 1.819152044288992e-05,
393
+ "loss": 0.628,
394
+ "step": 550
395
+ },
396
+ {
397
+ "epoch": 0.28,
398
+ "grad_norm": 2.484375,
399
+ "learning_rate": 1.8090169943749477e-05,
400
+ "loss": 0.5611,
401
+ "step": 560
402
+ },
403
+ {
404
+ "epoch": 0.285,
405
+ "grad_norm": 3.125,
406
+ "learning_rate": 1.798635510047293e-05,
407
+ "loss": 0.5497,
408
+ "step": 570
409
+ },
410
+ {
411
+ "epoch": 0.29,
412
+ "grad_norm": 3.21875,
413
+ "learning_rate": 1.788010753606722e-05,
414
+ "loss": 0.5717,
415
+ "step": 580
416
+ },
417
+ {
418
+ "epoch": 0.295,
419
+ "grad_norm": 3.15625,
420
+ "learning_rate": 1.777145961456971e-05,
421
+ "loss": 0.5497,
422
+ "step": 590
423
+ },
424
+ {
425
+ "epoch": 0.3,
426
+ "grad_norm": 3.25,
427
+ "learning_rate": 1.766044443118978e-05,
428
+ "loss": 0.543,
429
+ "step": 600
430
+ },
431
+ {
432
+ "epoch": 0.305,
433
+ "grad_norm": 2.671875,
434
+ "learning_rate": 1.7547095802227723e-05,
435
+ "loss": 0.5547,
436
+ "step": 610
437
+ },
438
+ {
439
+ "epoch": 0.31,
440
+ "grad_norm": 2.671875,
441
+ "learning_rate": 1.7431448254773943e-05,
442
+ "loss": 0.5395,
443
+ "step": 620
444
+ },
445
+ {
446
+ "epoch": 0.315,
447
+ "grad_norm": 3.390625,
448
+ "learning_rate": 1.7313537016191706e-05,
449
+ "loss": 0.5913,
450
+ "step": 630
451
+ },
452
+ {
453
+ "epoch": 0.32,
454
+ "grad_norm": 2.640625,
455
+ "learning_rate": 1.7193398003386514e-05,
456
+ "loss": 0.5385,
457
+ "step": 640
458
+ },
459
+ {
460
+ "epoch": 0.325,
461
+ "grad_norm": 3.5,
462
+ "learning_rate": 1.7071067811865477e-05,
463
+ "loss": 0.5522,
464
+ "step": 650
465
+ },
466
+ {
467
+ "epoch": 0.33,
468
+ "grad_norm": 2.96875,
469
+ "learning_rate": 1.6946583704589973e-05,
470
+ "loss": 0.5241,
471
+ "step": 660
472
+ },
473
+ {
474
+ "epoch": 0.335,
475
+ "grad_norm": 3.40625,
476
+ "learning_rate": 1.6819983600624986e-05,
477
+ "loss": 0.4942,
478
+ "step": 670
479
+ },
480
+ {
481
+ "epoch": 0.34,
482
+ "grad_norm": 2.765625,
483
+ "learning_rate": 1.6691306063588583e-05,
484
+ "loss": 0.484,
485
+ "step": 680
486
+ },
487
+ {
488
+ "epoch": 0.345,
489
+ "grad_norm": 2.671875,
490
+ "learning_rate": 1.6560590289905074e-05,
491
+ "loss": 0.463,
492
+ "step": 690
493
+ },
494
+ {
495
+ "epoch": 0.35,
496
+ "grad_norm": 3.34375,
497
+ "learning_rate": 1.6427876096865394e-05,
498
+ "loss": 0.4791,
499
+ "step": 700
500
+ },
501
+ {
502
+ "epoch": 0.355,
503
+ "grad_norm": 3.1875,
504
+ "learning_rate": 1.6293203910498375e-05,
505
+ "loss": 0.4977,
506
+ "step": 710
507
+ },
508
+ {
509
+ "epoch": 0.36,
510
+ "grad_norm": 2.421875,
511
+ "learning_rate": 1.6156614753256583e-05,
512
+ "loss": 0.5117,
513
+ "step": 720
514
+ },
515
+ {
516
+ "epoch": 0.365,
517
+ "grad_norm": 3.46875,
518
+ "learning_rate": 1.6018150231520486e-05,
519
+ "loss": 0.5095,
520
+ "step": 730
521
+ },
522
+ {
523
+ "epoch": 0.37,
524
+ "grad_norm": 2.53125,
525
+ "learning_rate": 1.5877852522924733e-05,
526
+ "loss": 0.4845,
527
+ "step": 740
528
+ },
529
+ {
530
+ "epoch": 0.375,
531
+ "grad_norm": 2.75,
532
+ "learning_rate": 1.573576436351046e-05,
533
+ "loss": 0.4809,
534
+ "step": 750
535
+ },
536
+ {
537
+ "epoch": 0.38,
538
+ "grad_norm": 3.453125,
539
+ "learning_rate": 1.5591929034707468e-05,
540
+ "loss": 0.4588,
541
+ "step": 760
542
+ },
543
+ {
544
+ "epoch": 0.385,
545
+ "grad_norm": 2.9375,
546
+ "learning_rate": 1.5446390350150272e-05,
547
+ "loss": 0.5021,
548
+ "step": 770
549
+ },
550
+ {
551
+ "epoch": 0.39,
552
+ "grad_norm": 2.421875,
553
+ "learning_rate": 1.529919264233205e-05,
554
+ "loss": 0.5011,
555
+ "step": 780
556
+ },
557
+ {
558
+ "epoch": 0.395,
559
+ "grad_norm": 2.59375,
560
+ "learning_rate": 1.5150380749100545e-05,
561
+ "loss": 0.4935,
562
+ "step": 790
563
+ },
564
+ {
565
+ "epoch": 0.4,
566
+ "grad_norm": 2.4375,
567
+ "learning_rate": 1.5000000000000002e-05,
568
+ "loss": 0.5083,
569
+ "step": 800
570
+ },
571
+ {
572
+ "epoch": 0.405,
573
+ "grad_norm": 2.78125,
574
+ "learning_rate": 1.4848096202463373e-05,
575
+ "loss": 0.4488,
576
+ "step": 810
577
+ },
578
+ {
579
+ "epoch": 0.41,
580
+ "grad_norm": 2.625,
581
+ "learning_rate": 1.469471562785891e-05,
582
+ "loss": 0.4308,
583
+ "step": 820
584
+ },
585
+ {
586
+ "epoch": 0.415,
587
+ "grad_norm": 3.453125,
588
+ "learning_rate": 1.4539904997395468e-05,
589
+ "loss": 0.443,
590
+ "step": 830
591
+ },
592
+ {
593
+ "epoch": 0.42,
594
+ "grad_norm": 3.15625,
595
+ "learning_rate": 1.4383711467890776e-05,
596
+ "loss": 0.4832,
597
+ "step": 840
598
+ },
599
+ {
600
+ "epoch": 0.425,
601
+ "grad_norm": 2.625,
602
+ "learning_rate": 1.4226182617406996e-05,
603
+ "loss": 0.4688,
604
+ "step": 850
605
+ },
606
+ {
607
+ "epoch": 0.43,
608
+ "grad_norm": 3.1875,
609
+ "learning_rate": 1.4067366430758004e-05,
610
+ "loss": 0.4534,
611
+ "step": 860
612
+ },
613
+ {
614
+ "epoch": 0.435,
615
+ "grad_norm": 2.921875,
616
+ "learning_rate": 1.3907311284892737e-05,
617
+ "loss": 0.422,
618
+ "step": 870
619
+ },
620
+ {
621
+ "epoch": 0.44,
622
+ "grad_norm": 3.296875,
623
+ "learning_rate": 1.3746065934159123e-05,
624
+ "loss": 0.4677,
625
+ "step": 880
626
+ },
627
+ {
628
+ "epoch": 0.445,
629
+ "grad_norm": 3.1875,
630
+ "learning_rate": 1.3583679495453e-05,
631
+ "loss": 0.4743,
632
+ "step": 890
633
+ },
634
+ {
635
+ "epoch": 0.45,
636
+ "grad_norm": 2.859375,
637
+ "learning_rate": 1.342020143325669e-05,
638
+ "loss": 0.4639,
639
+ "step": 900
640
+ },
641
+ {
642
+ "epoch": 0.455,
643
+ "grad_norm": 4.28125,
644
+ "learning_rate": 1.3255681544571568e-05,
645
+ "loss": 0.4374,
646
+ "step": 910
647
+ },
648
+ {
649
+ "epoch": 0.46,
650
+ "grad_norm": 2.546875,
651
+ "learning_rate": 1.3090169943749475e-05,
652
+ "loss": 0.4294,
653
+ "step": 920
654
+ },
655
+ {
656
+ "epoch": 0.465,
657
+ "grad_norm": 2.890625,
658
+ "learning_rate": 1.2923717047227368e-05,
659
+ "loss": 0.4604,
660
+ "step": 930
661
+ },
662
+ {
663
+ "epoch": 0.47,
664
+ "grad_norm": 2.90625,
665
+ "learning_rate": 1.2756373558169992e-05,
666
+ "loss": 0.4341,
667
+ "step": 940
668
+ },
669
+ {
670
+ "epoch": 0.475,
671
+ "grad_norm": 3.46875,
672
+ "learning_rate": 1.2588190451025209e-05,
673
+ "loss": 0.4212,
674
+ "step": 950
675
+ },
676
+ {
677
+ "epoch": 0.48,
678
+ "grad_norm": 3.109375,
679
+ "learning_rate": 1.2419218955996677e-05,
680
+ "loss": 0.4391,
681
+ "step": 960
682
+ },
683
+ {
684
+ "epoch": 0.485,
685
+ "grad_norm": 2.609375,
686
+ "learning_rate": 1.2249510543438652e-05,
687
+ "loss": 0.4442,
688
+ "step": 970
689
+ },
690
+ {
691
+ "epoch": 0.49,
692
+ "grad_norm": 3.1875,
693
+ "learning_rate": 1.2079116908177592e-05,
694
+ "loss": 0.4612,
695
+ "step": 980
696
+ },
697
+ {
698
+ "epoch": 0.495,
699
+ "grad_norm": 3.375,
700
+ "learning_rate": 1.190808995376545e-05,
701
+ "loss": 0.4126,
702
+ "step": 990
703
+ },
704
+ {
705
+ "epoch": 0.5,
706
+ "grad_norm": 4.71875,
707
+ "learning_rate": 1.1736481776669307e-05,
708
+ "loss": 0.4042,
709
+ "step": 1000
710
+ },
711
+ {
712
+ "epoch": 0.505,
713
+ "grad_norm": 2.921875,
714
+ "learning_rate": 1.156434465040231e-05,
715
+ "loss": 0.4109,
716
+ "step": 1010
717
+ },
718
+ {
719
+ "epoch": 0.51,
720
+ "grad_norm": 3.640625,
721
+ "learning_rate": 1.1391731009600655e-05,
722
+ "loss": 0.3831,
723
+ "step": 1020
724
+ },
725
+ {
726
+ "epoch": 0.515,
727
+ "grad_norm": 3.5,
728
+ "learning_rate": 1.1218693434051475e-05,
729
+ "loss": 0.3905,
730
+ "step": 1030
731
+ },
732
+ {
733
+ "epoch": 0.52,
734
+ "grad_norm": 4.25,
735
+ "learning_rate": 1.1045284632676535e-05,
736
+ "loss": 0.3768,
737
+ "step": 1040
738
+ },
739
+ {
740
+ "epoch": 0.525,
741
+ "grad_norm": 3.25,
742
+ "learning_rate": 1.0871557427476585e-05,
743
+ "loss": 0.3865,
744
+ "step": 1050
745
+ },
746
+ {
747
+ "epoch": 0.53,
748
+ "grad_norm": 5.03125,
749
+ "learning_rate": 1.0697564737441254e-05,
750
+ "loss": 0.4058,
751
+ "step": 1060
752
+ },
753
+ {
754
+ "epoch": 0.535,
755
+ "grad_norm": 3.40625,
756
+ "learning_rate": 1.0523359562429441e-05,
757
+ "loss": 0.4019,
758
+ "step": 1070
759
+ },
760
+ {
761
+ "epoch": 0.54,
762
+ "grad_norm": 5.09375,
763
+ "learning_rate": 1.0348994967025012e-05,
764
+ "loss": 0.4082,
765
+ "step": 1080
766
+ },
767
+ {
768
+ "epoch": 0.545,
769
+ "grad_norm": 3.328125,
770
+ "learning_rate": 1.0174524064372837e-05,
771
+ "loss": 0.4137,
772
+ "step": 1090
773
+ },
774
+ {
775
+ "epoch": 0.55,
776
+ "grad_norm": 4.96875,
777
+ "learning_rate": 1e-05,
778
+ "loss": 0.4029,
779
+ "step": 1100
780
+ },
781
+ {
782
+ "epoch": 0.555,
783
+ "grad_norm": 3.046875,
784
+ "learning_rate": 9.825475935627165e-06,
785
+ "loss": 0.3757,
786
+ "step": 1110
787
+ },
788
+ {
789
+ "epoch": 0.56,
790
+ "grad_norm": 3.28125,
791
+ "learning_rate": 9.651005032974994e-06,
792
+ "loss": 0.3914,
793
+ "step": 1120
794
+ },
795
+ {
796
+ "epoch": 0.565,
797
+ "grad_norm": 3.734375,
798
+ "learning_rate": 9.476640437570562e-06,
799
+ "loss": 0.4143,
800
+ "step": 1130
801
+ },
802
+ {
803
+ "epoch": 0.57,
804
+ "grad_norm": 4.21875,
805
+ "learning_rate": 9.302435262558748e-06,
806
+ "loss": 0.3739,
807
+ "step": 1140
808
+ },
809
+ {
810
+ "epoch": 0.575,
811
+ "grad_norm": 4.25,
812
+ "learning_rate": 9.128442572523418e-06,
813
+ "loss": 0.3878,
814
+ "step": 1150
815
+ },
816
+ {
817
+ "epoch": 0.58,
818
+ "grad_norm": 2.875,
819
+ "learning_rate": 8.954715367323468e-06,
820
+ "loss": 0.3931,
821
+ "step": 1160
822
+ },
823
+ {
824
+ "epoch": 0.585,
825
+ "grad_norm": 4.8125,
826
+ "learning_rate": 8.781306565948528e-06,
827
+ "loss": 0.371,
828
+ "step": 1170
829
+ },
830
+ {
831
+ "epoch": 0.59,
832
+ "grad_norm": 2.734375,
833
+ "learning_rate": 8.60826899039935e-06,
834
+ "loss": 0.3842,
835
+ "step": 1180
836
+ },
837
+ {
838
+ "epoch": 0.595,
839
+ "grad_norm": 2.5625,
840
+ "learning_rate": 8.43565534959769e-06,
841
+ "loss": 0.37,
842
+ "step": 1190
843
+ },
844
+ {
845
+ "epoch": 0.6,
846
+ "grad_norm": 2.53125,
847
+ "learning_rate": 8.263518223330698e-06,
848
+ "loss": 0.3536,
849
+ "step": 1200
850
+ },
851
+ {
852
+ "epoch": 0.605,
853
+ "grad_norm": 5.46875,
854
+ "learning_rate": 8.091910046234552e-06,
855
+ "loss": 0.3853,
856
+ "step": 1210
857
+ },
858
+ {
859
+ "epoch": 0.61,
860
+ "grad_norm": 3.609375,
861
+ "learning_rate": 7.92088309182241e-06,
862
+ "loss": 0.3788,
863
+ "step": 1220
864
+ },
865
+ {
866
+ "epoch": 0.615,
867
+ "grad_norm": 2.546875,
868
+ "learning_rate": 7.750489456561351e-06,
869
+ "loss": 0.3985,
870
+ "step": 1230
871
+ },
872
+ {
873
+ "epoch": 0.62,
874
+ "grad_norm": 2.96875,
875
+ "learning_rate": 7.580781044003324e-06,
876
+ "loss": 0.3862,
877
+ "step": 1240
878
+ },
879
+ {
880
+ "epoch": 0.625,
881
+ "grad_norm": 3.890625,
882
+ "learning_rate": 7.411809548974792e-06,
883
+ "loss": 0.3859,
884
+ "step": 1250
885
+ },
886
+ {
887
+ "epoch": 0.63,
888
+ "grad_norm": 2.765625,
889
+ "learning_rate": 7.243626441830009e-06,
890
+ "loss": 0.3573,
891
+ "step": 1260
892
+ },
893
+ {
894
+ "epoch": 0.635,
895
+ "grad_norm": 3.78125,
896
+ "learning_rate": 7.076282952772634e-06,
897
+ "loss": 0.3887,
898
+ "step": 1270
899
+ },
900
+ {
901
+ "epoch": 0.64,
902
+ "grad_norm": 4.15625,
903
+ "learning_rate": 6.909830056250527e-06,
904
+ "loss": 0.4152,
905
+ "step": 1280
906
+ },
907
+ {
908
+ "epoch": 0.645,
909
+ "grad_norm": 4.90625,
910
+ "learning_rate": 6.744318455428436e-06,
911
+ "loss": 0.3729,
912
+ "step": 1290
913
+ },
914
+ {
915
+ "epoch": 0.65,
916
+ "grad_norm": 3.296875,
917
+ "learning_rate": 6.579798566743314e-06,
918
+ "loss": 0.3773,
919
+ "step": 1300
920
+ },
921
+ {
922
+ "epoch": 0.655,
923
+ "grad_norm": 4.25,
924
+ "learning_rate": 6.4163205045469975e-06,
925
+ "loss": 0.3478,
926
+ "step": 1310
927
+ },
928
+ {
929
+ "epoch": 1.00325,
930
+ "grad_norm": 9.375,
931
+ "learning_rate": 6.25393406584088e-06,
932
+ "loss": 0.3571,
933
+ "step": 1320
934
+ },
935
+ {
936
+ "epoch": 1.00825,
937
+ "grad_norm": 3.90625,
938
+ "learning_rate": 6.092688715107265e-06,
939
+ "loss": 0.324,
940
+ "step": 1330
941
+ },
942
+ {
943
+ "epoch": 1.01325,
944
+ "grad_norm": 4.0625,
945
+ "learning_rate": 5.932633569242e-06,
946
+ "loss": 0.3278,
947
+ "step": 1340
948
+ },
949
+ {
950
+ "epoch": 1.01825,
951
+ "grad_norm": 2.796875,
952
+ "learning_rate": 5.773817382593008e-06,
953
+ "loss": 0.3249,
954
+ "step": 1350
955
+ },
956
+ {
957
+ "epoch": 1.02325,
958
+ "grad_norm": 4.3125,
959
+ "learning_rate": 5.616288532109225e-06,
960
+ "loss": 0.3542,
961
+ "step": 1360
962
+ },
963
+ {
964
+ "epoch": 1.02825,
965
+ "grad_norm": 4.5,
966
+ "learning_rate": 5.460095002604533e-06,
967
+ "loss": 0.3515,
968
+ "step": 1370
969
+ },
970
+ {
971
+ "epoch": 1.03325,
972
+ "grad_norm": 9.8125,
973
+ "learning_rate": 5.305284372141095e-06,
974
+ "loss": 0.3913,
975
+ "step": 1380
976
+ },
977
+ {
978
+ "epoch": 1.03825,
979
+ "grad_norm": 4.625,
980
+ "learning_rate": 5.151903797536631e-06,
981
+ "loss": 0.3691,
982
+ "step": 1390
983
+ },
984
+ {
985
+ "epoch": 1.04325,
986
+ "grad_norm": 4.0625,
987
+ "learning_rate": 5.000000000000003e-06,
988
+ "loss": 0.3815,
989
+ "step": 1400
990
+ },
991
+ {
992
+ "epoch": 1.04825,
993
+ "grad_norm": 4.75,
994
+ "learning_rate": 4.849619250899458e-06,
995
+ "loss": 0.377,
996
+ "step": 1410
997
+ },
998
+ {
999
+ "epoch": 1.05325,
1000
+ "grad_norm": 3.890625,
1001
+ "learning_rate": 4.700807357667953e-06,
1002
+ "loss": 0.3596,
1003
+ "step": 1420
1004
+ },
1005
+ {
1006
+ "epoch": 1.05825,
1007
+ "grad_norm": 3.5,
1008
+ "learning_rate": 4.5536096498497295e-06,
1009
+ "loss": 0.3697,
1010
+ "step": 1430
1011
+ },
1012
+ {
1013
+ "epoch": 1.06325,
1014
+ "grad_norm": 8.375,
1015
+ "learning_rate": 4.408070965292534e-06,
1016
+ "loss": 0.4091,
1017
+ "step": 1440
1018
+ },
1019
+ {
1020
+ "epoch": 1.06825,
1021
+ "grad_norm": 5.25,
1022
+ "learning_rate": 4.264235636489542e-06,
1023
+ "loss": 0.3901,
1024
+ "step": 1450
1025
+ },
1026
+ {
1027
+ "epoch": 1.07325,
1028
+ "grad_norm": 4.25,
1029
+ "learning_rate": 4.12214747707527e-06,
1030
+ "loss": 0.3559,
1031
+ "step": 1460
1032
+ },
1033
+ {
1034
+ "epoch": 1.07825,
1035
+ "grad_norm": 6.6875,
1036
+ "learning_rate": 3.981849768479516e-06,
1037
+ "loss": 0.3631,
1038
+ "step": 1470
1039
+ },
1040
+ {
1041
+ "epoch": 1.08325,
1042
+ "grad_norm": 5.125,
1043
+ "learning_rate": 3.8433852467434175e-06,
1044
+ "loss": 0.3662,
1045
+ "step": 1480
1046
+ },
1047
+ {
1048
+ "epoch": 1.08825,
1049
+ "grad_norm": 6.375,
1050
+ "learning_rate": 3.7067960895016277e-06,
1051
+ "loss": 0.3512,
1052
+ "step": 1490
1053
+ },
1054
+ {
1055
+ "epoch": 1.09325,
1056
+ "grad_norm": 9.6875,
1057
+ "learning_rate": 3.5721239031346067e-06,
1058
+ "loss": 0.4109,
1059
+ "step": 1500
1060
+ },
1061
+ {
1062
+ "epoch": 1.09825,
1063
+ "grad_norm": 7.6875,
1064
+ "learning_rate": 3.4394097100949286e-06,
1065
+ "loss": 0.357,
1066
+ "step": 1510
1067
+ },
1068
+ {
1069
+ "epoch": 1.10325,
1070
+ "grad_norm": 6.125,
1071
+ "learning_rate": 3.308693936411421e-06,
1072
+ "loss": 0.3997,
1073
+ "step": 1520
1074
+ },
1075
+ {
1076
+ "epoch": 1.10825,
1077
+ "grad_norm": 4.1875,
1078
+ "learning_rate": 3.1800163993750166e-06,
1079
+ "loss": 0.3686,
1080
+ "step": 1530
1081
+ },
1082
+ {
1083
+ "epoch": 1.11325,
1084
+ "grad_norm": 4.21875,
1085
+ "learning_rate": 3.0534162954100264e-06,
1086
+ "loss": 0.3751,
1087
+ "step": 1540
1088
+ },
1089
+ {
1090
+ "epoch": 1.11825,
1091
+ "grad_norm": 9.1875,
1092
+ "learning_rate": 2.9289321881345257e-06,
1093
+ "loss": 0.3762,
1094
+ "step": 1550
1095
+ },
1096
+ {
1097
+ "epoch": 1.12325,
1098
+ "grad_norm": 5.0625,
1099
+ "learning_rate": 2.8066019966134907e-06,
1100
+ "loss": 0.4121,
1101
+ "step": 1560
1102
+ },
1103
+ {
1104
+ "epoch": 1.12825,
1105
+ "grad_norm": 9.75,
1106
+ "learning_rate": 2.6864629838082957e-06,
1107
+ "loss": 0.4098,
1108
+ "step": 1570
1109
+ },
1110
+ {
1111
+ "epoch": 1.13325,
1112
+ "grad_norm": 6.0,
1113
+ "learning_rate": 2.5685517452260566e-06,
1114
+ "loss": 0.3791,
1115
+ "step": 1580
1116
+ },
1117
+ {
1118
+ "epoch": 1.13825,
1119
+ "grad_norm": 5.53125,
1120
+ "learning_rate": 2.45290419777228e-06,
1121
+ "loss": 0.3819,
1122
+ "step": 1590
1123
+ },
1124
+ {
1125
+ "epoch": 1.14325,
1126
+ "grad_norm": 6.125,
1127
+ "learning_rate": 2.339555568810221e-06,
1128
+ "loss": 0.39,
1129
+ "step": 1600
1130
+ },
1131
+ {
1132
+ "epoch": 1.14825,
1133
+ "grad_norm": 6.75,
1134
+ "learning_rate": 2.2285403854302912e-06,
1135
+ "loss": 0.415,
1136
+ "step": 1610
1137
+ },
1138
+ {
1139
+ "epoch": 1.1532499999999999,
1140
+ "grad_norm": 7.3125,
1141
+ "learning_rate": 2.119892463932781e-06,
1142
+ "loss": 0.3848,
1143
+ "step": 1620
1144
+ },
1145
+ {
1146
+ "epoch": 1.15825,
1147
+ "grad_norm": 9.125,
1148
+ "learning_rate": 2.013644899527074e-06,
1149
+ "loss": 0.3801,
1150
+ "step": 1630
1151
+ },
1152
+ {
1153
+ "epoch": 1.1632500000000001,
1154
+ "grad_norm": 15.625,
1155
+ "learning_rate": 1.9098300562505266e-06,
1156
+ "loss": 0.3787,
1157
+ "step": 1640
1158
+ },
1159
+ {
1160
+ "epoch": 1.16825,
1161
+ "grad_norm": 12.375,
1162
+ "learning_rate": 1.808479557110081e-06,
1163
+ "loss": 0.3883,
1164
+ "step": 1650
1165
+ },
1166
+ {
1167
+ "epoch": 1.17325,
1168
+ "grad_norm": 8.75,
1169
+ "learning_rate": 1.709624274449584e-06,
1170
+ "loss": 0.3716,
1171
+ "step": 1660
1172
+ },
1173
+ {
1174
+ "epoch": 1.17825,
1175
+ "grad_norm": 11.0625,
1176
+ "learning_rate": 1.6132943205457607e-06,
1177
+ "loss": 0.4307,
1178
+ "step": 1670
1179
+ },
1180
+ {
1181
+ "epoch": 1.18325,
1182
+ "grad_norm": 3.828125,
1183
+ "learning_rate": 1.5195190384357405e-06,
1184
+ "loss": 0.3757,
1185
+ "step": 1680
1186
+ },
1187
+ {
1188
+ "epoch": 1.18825,
1189
+ "grad_norm": 6.6875,
1190
+ "learning_rate": 1.4283269929788779e-06,
1191
+ "loss": 0.4204,
1192
+ "step": 1690
1193
+ },
1194
+ {
1195
+ "epoch": 1.19325,
1196
+ "grad_norm": 5.1875,
1197
+ "learning_rate": 1.339745962155613e-06,
1198
+ "loss": 0.4241,
1199
+ "step": 1700
1200
+ },
1201
+ {
1202
+ "epoch": 1.19825,
1203
+ "grad_norm": 12.375,
1204
+ "learning_rate": 1.2538029286060428e-06,
1205
+ "loss": 0.4128,
1206
+ "step": 1710
1207
+ },
1208
+ {
1209
+ "epoch": 1.20325,
1210
+ "grad_norm": 7.90625,
1211
+ "learning_rate": 1.1705240714107301e-06,
1212
+ "loss": 0.4212,
1213
+ "step": 1720
1214
+ },
1215
+ {
1216
+ "epoch": 1.20825,
1217
+ "grad_norm": 11.4375,
1218
+ "learning_rate": 1.0899347581163222e-06,
1219
+ "loss": 0.4617,
1220
+ "step": 1730
1221
+ },
1222
+ {
1223
+ "epoch": 1.21325,
1224
+ "grad_norm": 5.75,
1225
+ "learning_rate": 1.012059537008332e-06,
1226
+ "loss": 0.4055,
1227
+ "step": 1740
1228
+ },
1229
+ {
1230
+ "epoch": 1.21825,
1231
+ "grad_norm": 9.6875,
1232
+ "learning_rate": 9.369221296335007e-07,
1233
+ "loss": 0.4208,
1234
+ "step": 1750
1235
+ },
1236
+ {
1237
+ "epoch": 1.22325,
1238
+ "grad_norm": 8.75,
1239
+ "learning_rate": 8.645454235739903e-07,
1240
+ "loss": 0.4073,
1241
+ "step": 1760
1242
+ },
1243
+ {
1244
+ "epoch": 1.22825,
1245
+ "grad_norm": 10.5625,
1246
+ "learning_rate": 7.949514654755963e-07,
1247
+ "loss": 0.4145,
1248
+ "step": 1770
1249
+ },
1250
+ {
1251
+ "epoch": 1.23325,
1252
+ "grad_norm": 9.5625,
1253
+ "learning_rate": 7.281614543321269e-07,
1254
+ "loss": 0.4053,
1255
+ "step": 1780
1256
+ },
1257
+ {
1258
+ "epoch": 1.23825,
1259
+ "grad_norm": 9.75,
1260
+ "learning_rate": 6.641957350279838e-07,
1261
+ "loss": 0.4063,
1262
+ "step": 1790
1263
+ },
1264
+ {
1265
+ "epoch": 1.24325,
1266
+ "grad_norm": 7.03125,
1267
+ "learning_rate": 6.030737921409169e-07,
1268
+ "loss": 0.4019,
1269
+ "step": 1800
1270
+ },
1271
+ {
1272
+ "epoch": 1.24825,
1273
+ "grad_norm": 6.53125,
1274
+ "learning_rate": 5.448142440068316e-07,
1275
+ "loss": 0.4129,
1276
+ "step": 1810
1277
+ },
1278
+ {
1279
+ "epoch": 1.25325,
1280
+ "grad_norm": 12.75,
1281
+ "learning_rate": 4.894348370484648e-07,
1282
+ "loss": 0.3792,
1283
+ "step": 1820
1284
+ },
1285
+ {
1286
+ "epoch": 1.2582499999999999,
1287
+ "grad_norm": 9.375,
1288
+ "learning_rate": 4.3695244036964567e-07,
1289
+ "loss": 0.3777,
1290
+ "step": 1830
1291
+ },
1292
+ {
1293
+ "epoch": 1.26325,
1294
+ "grad_norm": 13.6875,
1295
+ "learning_rate": 3.8738304061681107e-07,
1296
+ "loss": 0.4136,
1297
+ "step": 1840
1298
+ },
1299
+ {
1300
+ "epoch": 1.26825,
1301
+ "grad_norm": 4.75,
1302
+ "learning_rate": 3.4074173710931804e-07,
1303
+ "loss": 0.3753,
1304
+ "step": 1850
1305
+ },
1306
+ {
1307
+ "epoch": 1.27325,
1308
+ "grad_norm": 11.0625,
1309
+ "learning_rate": 2.970427372400353e-07,
1310
+ "loss": 0.3966,
1311
+ "step": 1860
1312
+ },
1313
+ {
1314
+ "epoch": 1.2782499999999999,
1315
+ "grad_norm": 10.9375,
1316
+ "learning_rate": 2.5629935214764866e-07,
1317
+ "loss": 0.4111,
1318
+ "step": 1870
1319
+ },
1320
+ {
1321
+ "epoch": 1.28325,
1322
+ "grad_norm": 7.46875,
1323
+ "learning_rate": 2.1852399266194312e-07,
1324
+ "loss": 0.3934,
1325
+ "step": 1880
1326
+ },
1327
+ {
1328
+ "epoch": 1.2882500000000001,
1329
+ "grad_norm": 7.1875,
1330
+ "learning_rate": 1.8372816552336025e-07,
1331
+ "loss": 0.3879,
1332
+ "step": 1890
1333
+ },
1334
+ {
1335
+ "epoch": 1.29325,
1336
+ "grad_norm": 4.34375,
1337
+ "learning_rate": 1.519224698779198e-07,
1338
+ "loss": 0.4485,
1339
+ "step": 1900
1340
+ },
1341
+ {
1342
+ "epoch": 1.29825,
1343
+ "grad_norm": 8.0625,
1344
+ "learning_rate": 1.231165940486234e-07,
1345
+ "loss": 0.4188,
1346
+ "step": 1910
1347
+ },
1348
+ {
1349
+ "epoch": 1.30325,
1350
+ "grad_norm": 11.125,
1351
+ "learning_rate": 9.731931258429638e-08,
1352
+ "loss": 0.4011,
1353
+ "step": 1920
1354
+ },
1355
+ {
1356
+ "epoch": 1.3082500000000001,
1357
+ "grad_norm": 9.0,
1358
+ "learning_rate": 7.453848358678018e-08,
1359
+ "loss": 0.4062,
1360
+ "step": 1930
1361
+ },
1362
+ {
1363
+ "epoch": 1.31325,
1364
+ "grad_norm": 8.8125,
1365
+ "learning_rate": 5.4781046317267103e-08,
1366
+ "loss": 0.4114,
1367
+ "step": 1940
1368
+ },
1369
+ {
1370
+ "epoch": 1.31825,
1371
+ "grad_norm": 11.625,
1372
+ "learning_rate": 3.805301908254455e-08,
1373
+ "loss": 0.4179,
1374
+ "step": 1950
1375
+ },
1376
+ {
1377
+ "epoch": 1.32325,
1378
+ "grad_norm": 3.875,
1379
+ "learning_rate": 2.4359497401758026e-08,
1380
+ "loss": 0.4288,
1381
+ "step": 1960
1382
+ },
1383
+ {
1384
+ "epoch": 1.32825,
1385
+ "grad_norm": 9.5625,
1386
+ "learning_rate": 1.370465245426167e-08,
1387
+ "loss": 0.4093,
1388
+ "step": 1970
1389
+ },
1390
+ {
1391
+ "epoch": 1.33325,
1392
+ "grad_norm": 6.84375,
1393
+ "learning_rate": 6.091729809042379e-09,
1394
+ "loss": 0.3907,
1395
+ "step": 1980
1396
+ },
1397
+ {
1398
+ "epoch": 1.33825,
1399
+ "grad_norm": 11.75,
1400
+ "learning_rate": 1.5230484360873043e-09,
1401
+ "loss": 0.3795,
1402
+ "step": 1990
1403
+ },
1404
+ {
1405
+ "epoch": 1.34325,
1406
+ "grad_norm": 8.6875,
1407
+ "learning_rate": 0.0,
1408
+ "loss": 0.369,
1409
+ "step": 2000
1410
+ }
1411
+ ],
1412
+ "logging_steps": 10,
1413
+ "max_steps": 2000,
1414
+ "num_input_tokens_seen": 0,
1415
+ "num_train_epochs": 9223372036854775807,
1416
+ "save_steps": 500,
1417
+ "stateful_callbacks": {
1418
+ "TrainerControl": {
1419
+ "args": {
1420
+ "should_epoch_stop": false,
1421
+ "should_evaluate": false,
1422
+ "should_log": false,
1423
+ "should_save": true,
1424
+ "should_training_stop": true
1425
+ },
1426
+ "attributes": {}
1427
+ }
1428
+ },
1429
+ "total_flos": 1.9130140524439142e+17,
1430
+ "train_batch_size": 16,
1431
+ "trial_name": null,
1432
+ "trial_params": null
1433
+ }
checkpoint-2000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1cd6b60903244d2c3807559fcc357810b7e7b4b029b3946e04d0a00137162c24
3
+ size 5304