Thiyaga158 commited on
Commit
19d50d2
·
verified ·
1 Parent(s): 644239a

Upload 95 files

Browse files

Checkpoint-3546 is the final checkpoint which has the very minimal loss among all the checkpoints.

This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. checkpoint-1000/config.json +45 -0
  2. checkpoint-1000/model.safetensors +3 -0
  3. checkpoint-1000/optimizer.pt +3 -0
  4. checkpoint-1000/rng_state.pth +3 -0
  5. checkpoint-1000/scheduler.pt +3 -0
  6. checkpoint-1000/special_tokens_map.json +7 -0
  7. checkpoint-1000/tokenizer.json +0 -0
  8. checkpoint-1000/tokenizer_config.json +56 -0
  9. checkpoint-1000/trainer_state.json +734 -0
  10. checkpoint-1000/training_args.bin +3 -0
  11. checkpoint-1000/vocab.txt +0 -0
  12. checkpoint-1500/config.json +45 -0
  13. checkpoint-1500/model.safetensors +3 -0
  14. checkpoint-1500/optimizer.pt +3 -0
  15. checkpoint-1500/rng_state.pth +3 -0
  16. checkpoint-1500/scheduler.pt +3 -0
  17. checkpoint-1500/special_tokens_map.json +7 -0
  18. checkpoint-1500/tokenizer.json +0 -0
  19. checkpoint-1500/tokenizer_config.json +56 -0
  20. checkpoint-1500/trainer_state.json +1084 -0
  21. checkpoint-1500/training_args.bin +3 -0
  22. checkpoint-1500/vocab.txt +0 -0
  23. checkpoint-2000/config.json +45 -0
  24. checkpoint-2000/model.safetensors +3 -0
  25. checkpoint-2000/optimizer.pt +3 -0
  26. checkpoint-2000/rng_state.pth +3 -0
  27. checkpoint-2000/scheduler.pt +3 -0
  28. checkpoint-2000/special_tokens_map.json +7 -0
  29. checkpoint-2000/tokenizer.json +0 -0
  30. checkpoint-2000/tokenizer_config.json +56 -0
  31. checkpoint-2000/trainer_state.json +1434 -0
  32. checkpoint-2000/training_args.bin +3 -0
  33. checkpoint-2000/vocab.txt +0 -0
  34. checkpoint-2500/config.json +45 -0
  35. checkpoint-2500/model.safetensors +3 -0
  36. checkpoint-2500/optimizer.pt +3 -0
  37. checkpoint-2500/rng_state.pth +3 -0
  38. checkpoint-2500/scheduler.pt +3 -0
  39. checkpoint-2500/special_tokens_map.json +7 -0
  40. checkpoint-2500/tokenizer.json +0 -0
  41. checkpoint-2500/tokenizer_config.json +56 -0
  42. checkpoint-2500/trainer_state.json +1784 -0
  43. checkpoint-2500/training_args.bin +3 -0
  44. checkpoint-2500/vocab.txt +0 -0
  45. checkpoint-3000/config.json +45 -0
  46. checkpoint-3000/model.safetensors +3 -0
  47. checkpoint-3000/optimizer.pt +3 -0
  48. checkpoint-3000/rng_state.pth +3 -0
  49. checkpoint-3000/scheduler.pt +3 -0
  50. checkpoint-3000/special_tokens_map.json +7 -0
checkpoint-1000/config.json ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "activation": "gelu",
3
+ "architectures": [
4
+ "DistilBertForTokenClassification"
5
+ ],
6
+ "attention_dropout": 0.1,
7
+ "dim": 768,
8
+ "dropout": 0.1,
9
+ "hidden_dim": 3072,
10
+ "id2label": {
11
+ "0": "B-DATE",
12
+ "1": "B-EVENT",
13
+ "2": "B-TIME",
14
+ "3": "B-VENUE",
15
+ "4": "I-DATE",
16
+ "5": "I-EVENT",
17
+ "6": "I-TIME",
18
+ "7": "I-VENUE",
19
+ "8": "O"
20
+ },
21
+ "initializer_range": 0.02,
22
+ "label2id": {
23
+ "B-DATE": 0,
24
+ "B-EVENT": 1,
25
+ "B-TIME": 2,
26
+ "B-VENUE": 3,
27
+ "I-DATE": 4,
28
+ "I-EVENT": 5,
29
+ "I-TIME": 6,
30
+ "I-VENUE": 7,
31
+ "O": 8
32
+ },
33
+ "max_position_embeddings": 512,
34
+ "model_type": "distilbert",
35
+ "n_heads": 12,
36
+ "n_layers": 6,
37
+ "pad_token_id": 0,
38
+ "qa_dropout": 0.1,
39
+ "seq_classif_dropout": 0.2,
40
+ "sinusoidal_pos_embds": false,
41
+ "tie_weights_": true,
42
+ "torch_dtype": "float32",
43
+ "transformers_version": "4.52.4",
44
+ "vocab_size": 30522
45
+ }
checkpoint-1000/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d057d1ab9644f45fdc14be6635ce3fde443cef0fd16aa1fe3e83921838112db6
3
+ size 265491548
checkpoint-1000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:34bb0b834ed40dc926d18c45d60dc0d4bb737cf4ce19c7c4b043b4a720c170c8
3
+ size 531043898
checkpoint-1000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5e61566a9fb60610572e6699dc074a90e6e6418a500a4fa3af857f8a8d61b86b
3
+ size 14244
checkpoint-1000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8c024ce89e1d66e7272e2e87d480c97715d9b7d067c788459718e93a5d37c72e
3
+ size 1064
checkpoint-1000/special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "mask_token": "[MASK]",
4
+ "pad_token": "[PAD]",
5
+ "sep_token": "[SEP]",
6
+ "unk_token": "[UNK]"
7
+ }
checkpoint-1000/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1000/tokenizer_config.json ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[PAD]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "100": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "101": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "102": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "103": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "clean_up_tokenization_spaces": false,
45
+ "cls_token": "[CLS]",
46
+ "do_lower_case": true,
47
+ "extra_special_tokens": {},
48
+ "mask_token": "[MASK]",
49
+ "model_max_length": 512,
50
+ "pad_token": "[PAD]",
51
+ "sep_token": "[SEP]",
52
+ "strip_accents": null,
53
+ "tokenize_chinese_chars": true,
54
+ "tokenizer_class": "DistilBertTokenizer",
55
+ "unk_token": "[UNK]"
56
+ }
checkpoint-1000/trainer_state.json ADDED
@@ -0,0 +1,734 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.8460236886632826,
6
+ "eval_steps": 500,
7
+ "global_step": 1000,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.008460236886632826,
14
+ "grad_norm": 2.4233109951019287,
15
+ "learning_rate": 1.9949238578680207e-05,
16
+ "loss": 1.3216,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.01692047377326565,
21
+ "grad_norm": 1.1721662282943726,
22
+ "learning_rate": 1.9892836999435986e-05,
23
+ "loss": 0.5312,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.025380710659898477,
28
+ "grad_norm": 0.899889349937439,
29
+ "learning_rate": 1.9836435420191765e-05,
30
+ "loss": 0.2969,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.0338409475465313,
35
+ "grad_norm": 0.4674186408519745,
36
+ "learning_rate": 1.9780033840947548e-05,
37
+ "loss": 0.1564,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.04230118443316413,
42
+ "grad_norm": 0.9013752937316895,
43
+ "learning_rate": 1.972363226170333e-05,
44
+ "loss": 0.0966,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.050761421319796954,
49
+ "grad_norm": 0.364164799451828,
50
+ "learning_rate": 1.966723068245911e-05,
51
+ "loss": 0.0516,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.05922165820642978,
56
+ "grad_norm": 0.22717136144638062,
57
+ "learning_rate": 1.9610829103214893e-05,
58
+ "loss": 0.0307,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.0676818950930626,
63
+ "grad_norm": 0.09149003773927689,
64
+ "learning_rate": 1.9554427523970672e-05,
65
+ "loss": 0.0182,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.07614213197969544,
70
+ "grad_norm": 0.12942063808441162,
71
+ "learning_rate": 1.949802594472645e-05,
72
+ "loss": 0.017,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.08460236886632826,
77
+ "grad_norm": 0.27440059185028076,
78
+ "learning_rate": 1.9441624365482234e-05,
79
+ "loss": 0.0113,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.09306260575296109,
84
+ "grad_norm": 0.5005059242248535,
85
+ "learning_rate": 1.9385222786238017e-05,
86
+ "loss": 0.0082,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.10152284263959391,
91
+ "grad_norm": 0.19820384681224823,
92
+ "learning_rate": 1.9328821206993796e-05,
93
+ "loss": 0.0057,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.10998307952622674,
98
+ "grad_norm": 0.03431914001703262,
99
+ "learning_rate": 1.927241962774958e-05,
100
+ "loss": 0.0055,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.11844331641285956,
105
+ "grad_norm": 0.4414117634296417,
106
+ "learning_rate": 1.921601804850536e-05,
107
+ "loss": 0.0063,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.12690355329949238,
112
+ "grad_norm": 0.9055352807044983,
113
+ "learning_rate": 1.915961646926114e-05,
114
+ "loss": 0.0048,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.1353637901861252,
119
+ "grad_norm": 0.036724768579006195,
120
+ "learning_rate": 1.910321489001692e-05,
121
+ "loss": 0.0035,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.14382402707275804,
126
+ "grad_norm": 0.0888664722442627,
127
+ "learning_rate": 1.9046813310772703e-05,
128
+ "loss": 0.0033,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.15228426395939088,
133
+ "grad_norm": 0.019098607823252678,
134
+ "learning_rate": 1.8990411731528486e-05,
135
+ "loss": 0.0029,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.16074450084602368,
140
+ "grad_norm": 0.0171552412211895,
141
+ "learning_rate": 1.8934010152284265e-05,
142
+ "loss": 0.0029,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.1692047377326565,
147
+ "grad_norm": 0.01885647512972355,
148
+ "learning_rate": 1.8877608573040048e-05,
149
+ "loss": 0.0028,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.17766497461928935,
154
+ "grad_norm": 0.01599389687180519,
155
+ "learning_rate": 1.8821206993795827e-05,
156
+ "loss": 0.0022,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.18612521150592218,
161
+ "grad_norm": 0.017242038622498512,
162
+ "learning_rate": 1.876480541455161e-05,
163
+ "loss": 0.0023,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.19458544839255498,
168
+ "grad_norm": 0.5941590666770935,
169
+ "learning_rate": 1.870840383530739e-05,
170
+ "loss": 0.0031,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.20304568527918782,
175
+ "grad_norm": 0.4872148931026459,
176
+ "learning_rate": 1.8652002256063172e-05,
177
+ "loss": 0.0027,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.21150592216582065,
182
+ "grad_norm": 0.014173777773976326,
183
+ "learning_rate": 1.859560067681895e-05,
184
+ "loss": 0.0021,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.21996615905245348,
189
+ "grad_norm": 0.024433018639683723,
190
+ "learning_rate": 1.8539199097574734e-05,
191
+ "loss": 0.0017,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.22842639593908629,
196
+ "grad_norm": 0.017857005819678307,
197
+ "learning_rate": 1.8482797518330516e-05,
198
+ "loss": 0.0017,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.23688663282571912,
203
+ "grad_norm": 0.014704135246574879,
204
+ "learning_rate": 1.8426395939086296e-05,
205
+ "loss": 0.0021,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.24534686971235195,
210
+ "grad_norm": 0.022361995652318,
211
+ "learning_rate": 1.8369994359842075e-05,
212
+ "loss": 0.0016,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.25380710659898476,
217
+ "grad_norm": 0.01112055778503418,
218
+ "learning_rate": 1.8313592780597858e-05,
219
+ "loss": 0.0015,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.2622673434856176,
224
+ "grad_norm": 0.010048450902104378,
225
+ "learning_rate": 1.825719120135364e-05,
226
+ "loss": 0.0015,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.2707275803722504,
231
+ "grad_norm": 0.012935510836541653,
232
+ "learning_rate": 1.820078962210942e-05,
233
+ "loss": 0.0014,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.27918781725888325,
238
+ "grad_norm": 0.010541570372879505,
239
+ "learning_rate": 1.8144388042865203e-05,
240
+ "loss": 0.0013,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.2876480541455161,
245
+ "grad_norm": 0.009258048608899117,
246
+ "learning_rate": 1.8087986463620982e-05,
247
+ "loss": 0.0012,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.2961082910321489,
252
+ "grad_norm": 0.009454768151044846,
253
+ "learning_rate": 1.8031584884376765e-05,
254
+ "loss": 0.0015,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.30456852791878175,
259
+ "grad_norm": 0.018366724252700806,
260
+ "learning_rate": 1.7975183305132544e-05,
261
+ "loss": 0.0012,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.3130287648054145,
266
+ "grad_norm": 0.009252658113837242,
267
+ "learning_rate": 1.7918781725888327e-05,
268
+ "loss": 0.0011,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.32148900169204736,
273
+ "grad_norm": 0.1430797576904297,
274
+ "learning_rate": 1.7862380146644106e-05,
275
+ "loss": 0.0018,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.3299492385786802,
280
+ "grad_norm": 0.009182159788906574,
281
+ "learning_rate": 1.780597856739989e-05,
282
+ "loss": 0.0018,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.338409475465313,
287
+ "grad_norm": 0.00843009352684021,
288
+ "learning_rate": 1.774957698815567e-05,
289
+ "loss": 0.0017,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.34686971235194586,
294
+ "grad_norm": 0.008176930248737335,
295
+ "learning_rate": 1.769317540891145e-05,
296
+ "loss": 0.0013,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.3553299492385787,
301
+ "grad_norm": 0.008539380505681038,
302
+ "learning_rate": 1.7636773829667233e-05,
303
+ "loss": 0.001,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.3637901861252115,
308
+ "grad_norm": 0.008693977259099483,
309
+ "learning_rate": 1.7580372250423013e-05,
310
+ "loss": 0.0014,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.37225042301184436,
315
+ "grad_norm": 0.009141940623521805,
316
+ "learning_rate": 1.7523970671178795e-05,
317
+ "loss": 0.0012,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.38071065989847713,
322
+ "grad_norm": 0.009133282117545605,
323
+ "learning_rate": 1.7467569091934575e-05,
324
+ "loss": 0.0015,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.38917089678510997,
329
+ "grad_norm": 0.5799979567527771,
330
+ "learning_rate": 1.7411167512690357e-05,
331
+ "loss": 0.0013,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.3976311336717428,
336
+ "grad_norm": 0.04120843857526779,
337
+ "learning_rate": 1.7354765933446137e-05,
338
+ "loss": 0.0011,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.40609137055837563,
343
+ "grad_norm": 0.01276948768645525,
344
+ "learning_rate": 1.729836435420192e-05,
345
+ "loss": 0.0012,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.41455160744500846,
350
+ "grad_norm": 0.0076572224497795105,
351
+ "learning_rate": 1.7241962774957702e-05,
352
+ "loss": 0.0014,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.4230118443316413,
357
+ "grad_norm": 0.008293437771499157,
358
+ "learning_rate": 1.718556119571348e-05,
359
+ "loss": 0.0009,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.43147208121827413,
364
+ "grad_norm": 0.0068985214456915855,
365
+ "learning_rate": 1.712915961646926e-05,
366
+ "loss": 0.0009,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.43993231810490696,
371
+ "grad_norm": 0.029666345566511154,
372
+ "learning_rate": 1.7072758037225043e-05,
373
+ "loss": 0.0009,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.44839255499153974,
378
+ "grad_norm": 0.014065027236938477,
379
+ "learning_rate": 1.7016356457980826e-05,
380
+ "loss": 0.0008,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.45685279187817257,
385
+ "grad_norm": 0.00650499714538455,
386
+ "learning_rate": 1.6959954878736606e-05,
387
+ "loss": 0.0008,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.4653130287648054,
392
+ "grad_norm": 0.0065047661773860455,
393
+ "learning_rate": 1.6903553299492388e-05,
394
+ "loss": 0.0008,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.47377326565143824,
399
+ "grad_norm": 0.0071571446023881435,
400
+ "learning_rate": 1.684715172024817e-05,
401
+ "loss": 0.0008,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.48223350253807107,
406
+ "grad_norm": 0.005875805858522654,
407
+ "learning_rate": 1.679075014100395e-05,
408
+ "loss": 0.0008,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.4906937394247039,
413
+ "grad_norm": 0.005848041269928217,
414
+ "learning_rate": 1.673434856175973e-05,
415
+ "loss": 0.0007,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.49915397631133673,
420
+ "grad_norm": 0.006032396107912064,
421
+ "learning_rate": 1.6677946982515512e-05,
422
+ "loss": 0.0007,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.5076142131979695,
427
+ "grad_norm": 0.005858593620359898,
428
+ "learning_rate": 1.662154540327129e-05,
429
+ "loss": 0.0007,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.5160744500846024,
434
+ "grad_norm": 0.006055026315152645,
435
+ "learning_rate": 1.6565143824027074e-05,
436
+ "loss": 0.0007,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.5245346869712352,
441
+ "grad_norm": 0.0055991546250879765,
442
+ "learning_rate": 1.6508742244782857e-05,
443
+ "loss": 0.0039,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.5329949238578681,
448
+ "grad_norm": 0.006043154280632734,
449
+ "learning_rate": 1.6452340665538636e-05,
450
+ "loss": 0.0009,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.5414551607445008,
455
+ "grad_norm": 0.006406570319086313,
456
+ "learning_rate": 1.6395939086294416e-05,
457
+ "loss": 0.0008,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.5499153976311336,
462
+ "grad_norm": 0.006317532621324062,
463
+ "learning_rate": 1.63395375070502e-05,
464
+ "loss": 0.0007,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.5583756345177665,
469
+ "grad_norm": 0.0260737594217062,
470
+ "learning_rate": 1.628313592780598e-05,
471
+ "loss": 0.0007,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.5668358714043993,
476
+ "grad_norm": 0.005516720470041037,
477
+ "learning_rate": 1.622673434856176e-05,
478
+ "loss": 0.0007,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.5752961082910322,
483
+ "grad_norm": 0.005611425265669823,
484
+ "learning_rate": 1.6170332769317543e-05,
485
+ "loss": 0.0006,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.583756345177665,
490
+ "grad_norm": 0.005698953289538622,
491
+ "learning_rate": 1.6113931190073326e-05,
492
+ "loss": 0.0006,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.5922165820642978,
497
+ "grad_norm": 0.005045793950557709,
498
+ "learning_rate": 1.6057529610829105e-05,
499
+ "loss": 0.0006,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.6006768189509306,
504
+ "grad_norm": 0.005404220428317785,
505
+ "learning_rate": 1.6001128031584884e-05,
506
+ "loss": 0.0007,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.6091370558375635,
511
+ "grad_norm": 0.005528539884835482,
512
+ "learning_rate": 1.5944726452340667e-05,
513
+ "loss": 0.0007,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.6175972927241963,
518
+ "grad_norm": 0.0052613625302910805,
519
+ "learning_rate": 1.5888324873096446e-05,
520
+ "loss": 0.0006,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.626057529610829,
525
+ "grad_norm": 0.0050328257493674755,
526
+ "learning_rate": 1.583192329385223e-05,
527
+ "loss": 0.0006,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.6345177664974619,
532
+ "grad_norm": 0.005106599070131779,
533
+ "learning_rate": 1.5775521714608012e-05,
534
+ "loss": 0.0006,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.6429780033840947,
539
+ "grad_norm": 0.004836504813283682,
540
+ "learning_rate": 1.571912013536379e-05,
541
+ "loss": 0.0006,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.6514382402707276,
546
+ "grad_norm": 0.004986999090760946,
547
+ "learning_rate": 1.566271855611957e-05,
548
+ "loss": 0.0006,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.6598984771573604,
553
+ "grad_norm": 0.005235906690359116,
554
+ "learning_rate": 1.5606316976875353e-05,
555
+ "loss": 0.0005,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.6683587140439933,
560
+ "grad_norm": 0.4625732898712158,
561
+ "learning_rate": 1.5549915397631136e-05,
562
+ "loss": 0.0009,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.676818950930626,
567
+ "grad_norm": 0.004936546087265015,
568
+ "learning_rate": 1.5493513818386915e-05,
569
+ "loss": 0.0006,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.6852791878172588,
574
+ "grad_norm": 0.004956043791025877,
575
+ "learning_rate": 1.5437112239142698e-05,
576
+ "loss": 0.0005,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.6937394247038917,
581
+ "grad_norm": 0.005084918346256018,
582
+ "learning_rate": 1.538071065989848e-05,
583
+ "loss": 0.0005,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.7021996615905245,
588
+ "grad_norm": 0.006050592288374901,
589
+ "learning_rate": 1.532430908065426e-05,
590
+ "loss": 0.0005,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.7106598984771574,
595
+ "grad_norm": 0.0045923274010419846,
596
+ "learning_rate": 1.526790750141004e-05,
597
+ "loss": 0.0005,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.7191201353637902,
602
+ "grad_norm": 0.004406214691698551,
603
+ "learning_rate": 1.5211505922165822e-05,
604
+ "loss": 0.0005,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.727580372250423,
609
+ "grad_norm": 0.00449965288862586,
610
+ "learning_rate": 1.5155104342921603e-05,
611
+ "loss": 0.0005,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.7360406091370558,
616
+ "grad_norm": 0.00427517294883728,
617
+ "learning_rate": 1.5098702763677384e-05,
618
+ "loss": 0.0006,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.7445008460236887,
623
+ "grad_norm": 0.006013456266373396,
624
+ "learning_rate": 1.5042301184433165e-05,
625
+ "loss": 0.0005,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.7529610829103215,
630
+ "grad_norm": 0.004456107504665852,
631
+ "learning_rate": 1.4985899605188948e-05,
632
+ "loss": 0.0005,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.7614213197969543,
637
+ "grad_norm": 0.004223175812512636,
638
+ "learning_rate": 1.4929498025944729e-05,
639
+ "loss": 0.0005,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.7698815566835872,
644
+ "grad_norm": 0.004154487047344446,
645
+ "learning_rate": 1.4873096446700508e-05,
646
+ "loss": 0.0005,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.7783417935702199,
651
+ "grad_norm": 0.007055574096739292,
652
+ "learning_rate": 1.4816694867456289e-05,
653
+ "loss": 0.0005,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.7868020304568528,
658
+ "grad_norm": 0.005269153974950314,
659
+ "learning_rate": 1.476029328821207e-05,
660
+ "loss": 0.0005,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.7952622673434856,
665
+ "grad_norm": 0.004041856154799461,
666
+ "learning_rate": 1.4703891708967853e-05,
667
+ "loss": 0.0005,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.8037225042301185,
672
+ "grad_norm": 0.003965588286519051,
673
+ "learning_rate": 1.4647490129723634e-05,
674
+ "loss": 0.0005,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.8121827411167513,
679
+ "grad_norm": 0.005661304574459791,
680
+ "learning_rate": 1.4591088550479415e-05,
681
+ "loss": 0.0005,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.8206429780033841,
686
+ "grad_norm": 0.0039055896922945976,
687
+ "learning_rate": 1.4534686971235198e-05,
688
+ "loss": 0.0011,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.8291032148900169,
693
+ "grad_norm": 1.8310741186141968,
694
+ "learning_rate": 1.4478285391990977e-05,
695
+ "loss": 0.001,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.8375634517766497,
700
+ "grad_norm": 0.005107107572257519,
701
+ "learning_rate": 1.4421883812746758e-05,
702
+ "loss": 0.0008,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.8460236886632826,
707
+ "grad_norm": 0.005387498531490564,
708
+ "learning_rate": 1.4365482233502539e-05,
709
+ "loss": 0.0005,
710
+ "step": 1000
711
+ }
712
+ ],
713
+ "logging_steps": 10,
714
+ "max_steps": 3546,
715
+ "num_input_tokens_seen": 0,
716
+ "num_train_epochs": 3,
717
+ "save_steps": 500,
718
+ "stateful_callbacks": {
719
+ "TrainerControl": {
720
+ "args": {
721
+ "should_epoch_stop": false,
722
+ "should_evaluate": false,
723
+ "should_log": false,
724
+ "should_save": true,
725
+ "should_training_stop": false
726
+ },
727
+ "attributes": {}
728
+ }
729
+ },
730
+ "total_flos": 298645454467584.0,
731
+ "train_batch_size": 8,
732
+ "trial_name": null,
733
+ "trial_params": null
734
+ }
checkpoint-1000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4ff70b5fe38fa5c6975f0b6b12e0e6d5bcdf328c6f1785991115883fcf7fcf78
3
+ size 5240
checkpoint-1000/vocab.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1500/config.json ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "activation": "gelu",
3
+ "architectures": [
4
+ "DistilBertForTokenClassification"
5
+ ],
6
+ "attention_dropout": 0.1,
7
+ "dim": 768,
8
+ "dropout": 0.1,
9
+ "hidden_dim": 3072,
10
+ "id2label": {
11
+ "0": "B-DATE",
12
+ "1": "B-EVENT",
13
+ "2": "B-TIME",
14
+ "3": "B-VENUE",
15
+ "4": "I-DATE",
16
+ "5": "I-EVENT",
17
+ "6": "I-TIME",
18
+ "7": "I-VENUE",
19
+ "8": "O"
20
+ },
21
+ "initializer_range": 0.02,
22
+ "label2id": {
23
+ "B-DATE": 0,
24
+ "B-EVENT": 1,
25
+ "B-TIME": 2,
26
+ "B-VENUE": 3,
27
+ "I-DATE": 4,
28
+ "I-EVENT": 5,
29
+ "I-TIME": 6,
30
+ "I-VENUE": 7,
31
+ "O": 8
32
+ },
33
+ "max_position_embeddings": 512,
34
+ "model_type": "distilbert",
35
+ "n_heads": 12,
36
+ "n_layers": 6,
37
+ "pad_token_id": 0,
38
+ "qa_dropout": 0.1,
39
+ "seq_classif_dropout": 0.2,
40
+ "sinusoidal_pos_embds": false,
41
+ "tie_weights_": true,
42
+ "torch_dtype": "float32",
43
+ "transformers_version": "4.52.4",
44
+ "vocab_size": 30522
45
+ }
checkpoint-1500/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f50638f2f5f540bc3be9e70fb81da7a0bc126a3a88502b5d2f3e790bcbc72a7b
3
+ size 265491548
checkpoint-1500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d42b4d4ffb30298cd64c071db7227b24218cef08557fabb0876462bc4b643632
3
+ size 531043898
checkpoint-1500/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6b0c41ed1f349ee9f7a4ae169f344f56323ca8b7727a8667446dc84d7fb22977
3
+ size 14244
checkpoint-1500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9596f55a5b04d4aa2c00d54fbe4dddf3dc580521ac09ab27f6ec117b0c4df175
3
+ size 1064
checkpoint-1500/special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "mask_token": "[MASK]",
4
+ "pad_token": "[PAD]",
5
+ "sep_token": "[SEP]",
6
+ "unk_token": "[UNK]"
7
+ }
checkpoint-1500/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1500/tokenizer_config.json ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[PAD]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "100": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "101": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "102": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "103": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "clean_up_tokenization_spaces": false,
45
+ "cls_token": "[CLS]",
46
+ "do_lower_case": true,
47
+ "extra_special_tokens": {},
48
+ "mask_token": "[MASK]",
49
+ "model_max_length": 512,
50
+ "pad_token": "[PAD]",
51
+ "sep_token": "[SEP]",
52
+ "strip_accents": null,
53
+ "tokenize_chinese_chars": true,
54
+ "tokenizer_class": "DistilBertTokenizer",
55
+ "unk_token": "[UNK]"
56
+ }
checkpoint-1500/trainer_state.json ADDED
@@ -0,0 +1,1084 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.2690355329949239,
6
+ "eval_steps": 500,
7
+ "global_step": 1500,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.008460236886632826,
14
+ "grad_norm": 2.4233109951019287,
15
+ "learning_rate": 1.9949238578680207e-05,
16
+ "loss": 1.3216,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.01692047377326565,
21
+ "grad_norm": 1.1721662282943726,
22
+ "learning_rate": 1.9892836999435986e-05,
23
+ "loss": 0.5312,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.025380710659898477,
28
+ "grad_norm": 0.899889349937439,
29
+ "learning_rate": 1.9836435420191765e-05,
30
+ "loss": 0.2969,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.0338409475465313,
35
+ "grad_norm": 0.4674186408519745,
36
+ "learning_rate": 1.9780033840947548e-05,
37
+ "loss": 0.1564,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.04230118443316413,
42
+ "grad_norm": 0.9013752937316895,
43
+ "learning_rate": 1.972363226170333e-05,
44
+ "loss": 0.0966,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.050761421319796954,
49
+ "grad_norm": 0.364164799451828,
50
+ "learning_rate": 1.966723068245911e-05,
51
+ "loss": 0.0516,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.05922165820642978,
56
+ "grad_norm": 0.22717136144638062,
57
+ "learning_rate": 1.9610829103214893e-05,
58
+ "loss": 0.0307,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.0676818950930626,
63
+ "grad_norm": 0.09149003773927689,
64
+ "learning_rate": 1.9554427523970672e-05,
65
+ "loss": 0.0182,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.07614213197969544,
70
+ "grad_norm": 0.12942063808441162,
71
+ "learning_rate": 1.949802594472645e-05,
72
+ "loss": 0.017,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.08460236886632826,
77
+ "grad_norm": 0.27440059185028076,
78
+ "learning_rate": 1.9441624365482234e-05,
79
+ "loss": 0.0113,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.09306260575296109,
84
+ "grad_norm": 0.5005059242248535,
85
+ "learning_rate": 1.9385222786238017e-05,
86
+ "loss": 0.0082,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.10152284263959391,
91
+ "grad_norm": 0.19820384681224823,
92
+ "learning_rate": 1.9328821206993796e-05,
93
+ "loss": 0.0057,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.10998307952622674,
98
+ "grad_norm": 0.03431914001703262,
99
+ "learning_rate": 1.927241962774958e-05,
100
+ "loss": 0.0055,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.11844331641285956,
105
+ "grad_norm": 0.4414117634296417,
106
+ "learning_rate": 1.921601804850536e-05,
107
+ "loss": 0.0063,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.12690355329949238,
112
+ "grad_norm": 0.9055352807044983,
113
+ "learning_rate": 1.915961646926114e-05,
114
+ "loss": 0.0048,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.1353637901861252,
119
+ "grad_norm": 0.036724768579006195,
120
+ "learning_rate": 1.910321489001692e-05,
121
+ "loss": 0.0035,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.14382402707275804,
126
+ "grad_norm": 0.0888664722442627,
127
+ "learning_rate": 1.9046813310772703e-05,
128
+ "loss": 0.0033,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.15228426395939088,
133
+ "grad_norm": 0.019098607823252678,
134
+ "learning_rate": 1.8990411731528486e-05,
135
+ "loss": 0.0029,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.16074450084602368,
140
+ "grad_norm": 0.0171552412211895,
141
+ "learning_rate": 1.8934010152284265e-05,
142
+ "loss": 0.0029,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.1692047377326565,
147
+ "grad_norm": 0.01885647512972355,
148
+ "learning_rate": 1.8877608573040048e-05,
149
+ "loss": 0.0028,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.17766497461928935,
154
+ "grad_norm": 0.01599389687180519,
155
+ "learning_rate": 1.8821206993795827e-05,
156
+ "loss": 0.0022,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.18612521150592218,
161
+ "grad_norm": 0.017242038622498512,
162
+ "learning_rate": 1.876480541455161e-05,
163
+ "loss": 0.0023,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.19458544839255498,
168
+ "grad_norm": 0.5941590666770935,
169
+ "learning_rate": 1.870840383530739e-05,
170
+ "loss": 0.0031,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.20304568527918782,
175
+ "grad_norm": 0.4872148931026459,
176
+ "learning_rate": 1.8652002256063172e-05,
177
+ "loss": 0.0027,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.21150592216582065,
182
+ "grad_norm": 0.014173777773976326,
183
+ "learning_rate": 1.859560067681895e-05,
184
+ "loss": 0.0021,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.21996615905245348,
189
+ "grad_norm": 0.024433018639683723,
190
+ "learning_rate": 1.8539199097574734e-05,
191
+ "loss": 0.0017,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.22842639593908629,
196
+ "grad_norm": 0.017857005819678307,
197
+ "learning_rate": 1.8482797518330516e-05,
198
+ "loss": 0.0017,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.23688663282571912,
203
+ "grad_norm": 0.014704135246574879,
204
+ "learning_rate": 1.8426395939086296e-05,
205
+ "loss": 0.0021,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.24534686971235195,
210
+ "grad_norm": 0.022361995652318,
211
+ "learning_rate": 1.8369994359842075e-05,
212
+ "loss": 0.0016,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.25380710659898476,
217
+ "grad_norm": 0.01112055778503418,
218
+ "learning_rate": 1.8313592780597858e-05,
219
+ "loss": 0.0015,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.2622673434856176,
224
+ "grad_norm": 0.010048450902104378,
225
+ "learning_rate": 1.825719120135364e-05,
226
+ "loss": 0.0015,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.2707275803722504,
231
+ "grad_norm": 0.012935510836541653,
232
+ "learning_rate": 1.820078962210942e-05,
233
+ "loss": 0.0014,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.27918781725888325,
238
+ "grad_norm": 0.010541570372879505,
239
+ "learning_rate": 1.8144388042865203e-05,
240
+ "loss": 0.0013,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.2876480541455161,
245
+ "grad_norm": 0.009258048608899117,
246
+ "learning_rate": 1.8087986463620982e-05,
247
+ "loss": 0.0012,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.2961082910321489,
252
+ "grad_norm": 0.009454768151044846,
253
+ "learning_rate": 1.8031584884376765e-05,
254
+ "loss": 0.0015,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.30456852791878175,
259
+ "grad_norm": 0.018366724252700806,
260
+ "learning_rate": 1.7975183305132544e-05,
261
+ "loss": 0.0012,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.3130287648054145,
266
+ "grad_norm": 0.009252658113837242,
267
+ "learning_rate": 1.7918781725888327e-05,
268
+ "loss": 0.0011,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.32148900169204736,
273
+ "grad_norm": 0.1430797576904297,
274
+ "learning_rate": 1.7862380146644106e-05,
275
+ "loss": 0.0018,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.3299492385786802,
280
+ "grad_norm": 0.009182159788906574,
281
+ "learning_rate": 1.780597856739989e-05,
282
+ "loss": 0.0018,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.338409475465313,
287
+ "grad_norm": 0.00843009352684021,
288
+ "learning_rate": 1.774957698815567e-05,
289
+ "loss": 0.0017,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.34686971235194586,
294
+ "grad_norm": 0.008176930248737335,
295
+ "learning_rate": 1.769317540891145e-05,
296
+ "loss": 0.0013,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.3553299492385787,
301
+ "grad_norm": 0.008539380505681038,
302
+ "learning_rate": 1.7636773829667233e-05,
303
+ "loss": 0.001,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.3637901861252115,
308
+ "grad_norm": 0.008693977259099483,
309
+ "learning_rate": 1.7580372250423013e-05,
310
+ "loss": 0.0014,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.37225042301184436,
315
+ "grad_norm": 0.009141940623521805,
316
+ "learning_rate": 1.7523970671178795e-05,
317
+ "loss": 0.0012,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.38071065989847713,
322
+ "grad_norm": 0.009133282117545605,
323
+ "learning_rate": 1.7467569091934575e-05,
324
+ "loss": 0.0015,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.38917089678510997,
329
+ "grad_norm": 0.5799979567527771,
330
+ "learning_rate": 1.7411167512690357e-05,
331
+ "loss": 0.0013,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.3976311336717428,
336
+ "grad_norm": 0.04120843857526779,
337
+ "learning_rate": 1.7354765933446137e-05,
338
+ "loss": 0.0011,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.40609137055837563,
343
+ "grad_norm": 0.01276948768645525,
344
+ "learning_rate": 1.729836435420192e-05,
345
+ "loss": 0.0012,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.41455160744500846,
350
+ "grad_norm": 0.0076572224497795105,
351
+ "learning_rate": 1.7241962774957702e-05,
352
+ "loss": 0.0014,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.4230118443316413,
357
+ "grad_norm": 0.008293437771499157,
358
+ "learning_rate": 1.718556119571348e-05,
359
+ "loss": 0.0009,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.43147208121827413,
364
+ "grad_norm": 0.0068985214456915855,
365
+ "learning_rate": 1.712915961646926e-05,
366
+ "loss": 0.0009,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.43993231810490696,
371
+ "grad_norm": 0.029666345566511154,
372
+ "learning_rate": 1.7072758037225043e-05,
373
+ "loss": 0.0009,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.44839255499153974,
378
+ "grad_norm": 0.014065027236938477,
379
+ "learning_rate": 1.7016356457980826e-05,
380
+ "loss": 0.0008,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.45685279187817257,
385
+ "grad_norm": 0.00650499714538455,
386
+ "learning_rate": 1.6959954878736606e-05,
387
+ "loss": 0.0008,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.4653130287648054,
392
+ "grad_norm": 0.0065047661773860455,
393
+ "learning_rate": 1.6903553299492388e-05,
394
+ "loss": 0.0008,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.47377326565143824,
399
+ "grad_norm": 0.0071571446023881435,
400
+ "learning_rate": 1.684715172024817e-05,
401
+ "loss": 0.0008,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.48223350253807107,
406
+ "grad_norm": 0.005875805858522654,
407
+ "learning_rate": 1.679075014100395e-05,
408
+ "loss": 0.0008,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.4906937394247039,
413
+ "grad_norm": 0.005848041269928217,
414
+ "learning_rate": 1.673434856175973e-05,
415
+ "loss": 0.0007,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.49915397631133673,
420
+ "grad_norm": 0.006032396107912064,
421
+ "learning_rate": 1.6677946982515512e-05,
422
+ "loss": 0.0007,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.5076142131979695,
427
+ "grad_norm": 0.005858593620359898,
428
+ "learning_rate": 1.662154540327129e-05,
429
+ "loss": 0.0007,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.5160744500846024,
434
+ "grad_norm": 0.006055026315152645,
435
+ "learning_rate": 1.6565143824027074e-05,
436
+ "loss": 0.0007,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.5245346869712352,
441
+ "grad_norm": 0.0055991546250879765,
442
+ "learning_rate": 1.6508742244782857e-05,
443
+ "loss": 0.0039,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.5329949238578681,
448
+ "grad_norm": 0.006043154280632734,
449
+ "learning_rate": 1.6452340665538636e-05,
450
+ "loss": 0.0009,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.5414551607445008,
455
+ "grad_norm": 0.006406570319086313,
456
+ "learning_rate": 1.6395939086294416e-05,
457
+ "loss": 0.0008,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.5499153976311336,
462
+ "grad_norm": 0.006317532621324062,
463
+ "learning_rate": 1.63395375070502e-05,
464
+ "loss": 0.0007,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.5583756345177665,
469
+ "grad_norm": 0.0260737594217062,
470
+ "learning_rate": 1.628313592780598e-05,
471
+ "loss": 0.0007,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.5668358714043993,
476
+ "grad_norm": 0.005516720470041037,
477
+ "learning_rate": 1.622673434856176e-05,
478
+ "loss": 0.0007,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.5752961082910322,
483
+ "grad_norm": 0.005611425265669823,
484
+ "learning_rate": 1.6170332769317543e-05,
485
+ "loss": 0.0006,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.583756345177665,
490
+ "grad_norm": 0.005698953289538622,
491
+ "learning_rate": 1.6113931190073326e-05,
492
+ "loss": 0.0006,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.5922165820642978,
497
+ "grad_norm": 0.005045793950557709,
498
+ "learning_rate": 1.6057529610829105e-05,
499
+ "loss": 0.0006,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.6006768189509306,
504
+ "grad_norm": 0.005404220428317785,
505
+ "learning_rate": 1.6001128031584884e-05,
506
+ "loss": 0.0007,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.6091370558375635,
511
+ "grad_norm": 0.005528539884835482,
512
+ "learning_rate": 1.5944726452340667e-05,
513
+ "loss": 0.0007,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.6175972927241963,
518
+ "grad_norm": 0.0052613625302910805,
519
+ "learning_rate": 1.5888324873096446e-05,
520
+ "loss": 0.0006,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.626057529610829,
525
+ "grad_norm": 0.0050328257493674755,
526
+ "learning_rate": 1.583192329385223e-05,
527
+ "loss": 0.0006,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.6345177664974619,
532
+ "grad_norm": 0.005106599070131779,
533
+ "learning_rate": 1.5775521714608012e-05,
534
+ "loss": 0.0006,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.6429780033840947,
539
+ "grad_norm": 0.004836504813283682,
540
+ "learning_rate": 1.571912013536379e-05,
541
+ "loss": 0.0006,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.6514382402707276,
546
+ "grad_norm": 0.004986999090760946,
547
+ "learning_rate": 1.566271855611957e-05,
548
+ "loss": 0.0006,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.6598984771573604,
553
+ "grad_norm": 0.005235906690359116,
554
+ "learning_rate": 1.5606316976875353e-05,
555
+ "loss": 0.0005,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.6683587140439933,
560
+ "grad_norm": 0.4625732898712158,
561
+ "learning_rate": 1.5549915397631136e-05,
562
+ "loss": 0.0009,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.676818950930626,
567
+ "grad_norm": 0.004936546087265015,
568
+ "learning_rate": 1.5493513818386915e-05,
569
+ "loss": 0.0006,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.6852791878172588,
574
+ "grad_norm": 0.004956043791025877,
575
+ "learning_rate": 1.5437112239142698e-05,
576
+ "loss": 0.0005,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.6937394247038917,
581
+ "grad_norm": 0.005084918346256018,
582
+ "learning_rate": 1.538071065989848e-05,
583
+ "loss": 0.0005,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.7021996615905245,
588
+ "grad_norm": 0.006050592288374901,
589
+ "learning_rate": 1.532430908065426e-05,
590
+ "loss": 0.0005,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.7106598984771574,
595
+ "grad_norm": 0.0045923274010419846,
596
+ "learning_rate": 1.526790750141004e-05,
597
+ "loss": 0.0005,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.7191201353637902,
602
+ "grad_norm": 0.004406214691698551,
603
+ "learning_rate": 1.5211505922165822e-05,
604
+ "loss": 0.0005,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.727580372250423,
609
+ "grad_norm": 0.00449965288862586,
610
+ "learning_rate": 1.5155104342921603e-05,
611
+ "loss": 0.0005,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.7360406091370558,
616
+ "grad_norm": 0.00427517294883728,
617
+ "learning_rate": 1.5098702763677384e-05,
618
+ "loss": 0.0006,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.7445008460236887,
623
+ "grad_norm": 0.006013456266373396,
624
+ "learning_rate": 1.5042301184433165e-05,
625
+ "loss": 0.0005,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.7529610829103215,
630
+ "grad_norm": 0.004456107504665852,
631
+ "learning_rate": 1.4985899605188948e-05,
632
+ "loss": 0.0005,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.7614213197969543,
637
+ "grad_norm": 0.004223175812512636,
638
+ "learning_rate": 1.4929498025944729e-05,
639
+ "loss": 0.0005,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.7698815566835872,
644
+ "grad_norm": 0.004154487047344446,
645
+ "learning_rate": 1.4873096446700508e-05,
646
+ "loss": 0.0005,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.7783417935702199,
651
+ "grad_norm": 0.007055574096739292,
652
+ "learning_rate": 1.4816694867456289e-05,
653
+ "loss": 0.0005,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.7868020304568528,
658
+ "grad_norm": 0.005269153974950314,
659
+ "learning_rate": 1.476029328821207e-05,
660
+ "loss": 0.0005,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.7952622673434856,
665
+ "grad_norm": 0.004041856154799461,
666
+ "learning_rate": 1.4703891708967853e-05,
667
+ "loss": 0.0005,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.8037225042301185,
672
+ "grad_norm": 0.003965588286519051,
673
+ "learning_rate": 1.4647490129723634e-05,
674
+ "loss": 0.0005,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.8121827411167513,
679
+ "grad_norm": 0.005661304574459791,
680
+ "learning_rate": 1.4591088550479415e-05,
681
+ "loss": 0.0005,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.8206429780033841,
686
+ "grad_norm": 0.0039055896922945976,
687
+ "learning_rate": 1.4534686971235198e-05,
688
+ "loss": 0.0011,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.8291032148900169,
693
+ "grad_norm": 1.8310741186141968,
694
+ "learning_rate": 1.4478285391990977e-05,
695
+ "loss": 0.001,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.8375634517766497,
700
+ "grad_norm": 0.005107107572257519,
701
+ "learning_rate": 1.4421883812746758e-05,
702
+ "loss": 0.0008,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.8460236886632826,
707
+ "grad_norm": 0.005387498531490564,
708
+ "learning_rate": 1.4365482233502539e-05,
709
+ "loss": 0.0005,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.8544839255499154,
714
+ "grad_norm": 0.0051966467872262,
715
+ "learning_rate": 1.430908065425832e-05,
716
+ "loss": 0.0005,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.8629441624365483,
721
+ "grad_norm": 0.004603747744113207,
722
+ "learning_rate": 1.4252679075014103e-05,
723
+ "loss": 0.0005,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.871404399323181,
728
+ "grad_norm": 0.0113060986623168,
729
+ "learning_rate": 1.4196277495769884e-05,
730
+ "loss": 0.0005,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.8798646362098139,
735
+ "grad_norm": 0.004159980919212103,
736
+ "learning_rate": 1.4139875916525665e-05,
737
+ "loss": 0.0004,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.8883248730964467,
742
+ "grad_norm": 0.004094019532203674,
743
+ "learning_rate": 1.4083474337281444e-05,
744
+ "loss": 0.0004,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.8967851099830795,
749
+ "grad_norm": 0.00435257563367486,
750
+ "learning_rate": 1.4027072758037225e-05,
751
+ "loss": 0.0004,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.9052453468697124,
756
+ "grad_norm": 0.003843541955575347,
757
+ "learning_rate": 1.3970671178793008e-05,
758
+ "loss": 0.0004,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.9137055837563451,
763
+ "grad_norm": 0.16885782778263092,
764
+ "learning_rate": 1.3914269599548789e-05,
765
+ "loss": 0.0005,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.922165820642978,
770
+ "grad_norm": 0.0037802334409207106,
771
+ "learning_rate": 1.385786802030457e-05,
772
+ "loss": 0.0004,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.9306260575296108,
777
+ "grad_norm": 0.0037738329265266657,
778
+ "learning_rate": 1.3801466441060352e-05,
779
+ "loss": 0.0005,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.9390862944162437,
784
+ "grad_norm": 0.012493060901761055,
785
+ "learning_rate": 1.374506486181613e-05,
786
+ "loss": 0.0004,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.9475465313028765,
791
+ "grad_norm": 0.0037303464487195015,
792
+ "learning_rate": 1.3688663282571913e-05,
793
+ "loss": 0.0004,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.9560067681895094,
798
+ "grad_norm": 0.0035704418551176786,
799
+ "learning_rate": 1.3632261703327694e-05,
800
+ "loss": 0.0007,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.9644670050761421,
805
+ "grad_norm": 0.0038276014383882284,
806
+ "learning_rate": 1.3575860124083475e-05,
807
+ "loss": 0.0004,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.9729272419627749,
812
+ "grad_norm": 0.004172508604824543,
813
+ "learning_rate": 1.3519458544839257e-05,
814
+ "loss": 0.0004,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.9813874788494078,
819
+ "grad_norm": 0.20282192528247833,
820
+ "learning_rate": 1.3463056965595038e-05,
821
+ "loss": 0.0004,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.9898477157360406,
826
+ "grad_norm": 0.0035703997127711773,
827
+ "learning_rate": 1.340665538635082e-05,
828
+ "loss": 0.0004,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.9983079526226735,
833
+ "grad_norm": 0.003505186177790165,
834
+ "learning_rate": 1.3350253807106599e-05,
835
+ "loss": 0.0004,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 1.0067681895093064,
840
+ "grad_norm": 0.003632462117820978,
841
+ "learning_rate": 1.329385222786238e-05,
842
+ "loss": 0.0004,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 1.015228426395939,
847
+ "grad_norm": 0.0034904363565146923,
848
+ "learning_rate": 1.3237450648618163e-05,
849
+ "loss": 0.0004,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 1.023688663282572,
854
+ "grad_norm": 0.003400213085114956,
855
+ "learning_rate": 1.3181049069373944e-05,
856
+ "loss": 0.0004,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 1.0321489001692048,
861
+ "grad_norm": 0.02098667249083519,
862
+ "learning_rate": 1.3124647490129725e-05,
863
+ "loss": 0.0004,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 1.0406091370558375,
868
+ "grad_norm": 0.0033113211393356323,
869
+ "learning_rate": 1.3068245910885506e-05,
870
+ "loss": 0.0004,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 1.0490693739424704,
875
+ "grad_norm": 0.0075438846834003925,
876
+ "learning_rate": 1.3011844331641288e-05,
877
+ "loss": 0.001,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 1.0575296108291032,
882
+ "grad_norm": 0.003400578862056136,
883
+ "learning_rate": 1.2955442752397068e-05,
884
+ "loss": 0.0006,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 1.0659898477157361,
889
+ "grad_norm": 0.003571244655176997,
890
+ "learning_rate": 1.2899041173152849e-05,
891
+ "loss": 0.0004,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 1.0744500846023688,
896
+ "grad_norm": 0.0032794324215501547,
897
+ "learning_rate": 1.284263959390863e-05,
898
+ "loss": 0.0004,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 1.0829103214890017,
903
+ "grad_norm": 0.0032312178518623114,
904
+ "learning_rate": 1.2786238014664412e-05,
905
+ "loss": 0.0011,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 1.0913705583756346,
910
+ "grad_norm": 0.003224333981052041,
911
+ "learning_rate": 1.2729836435420193e-05,
912
+ "loss": 0.0003,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 1.0998307952622675,
917
+ "grad_norm": 0.0033167279325425625,
918
+ "learning_rate": 1.2673434856175974e-05,
919
+ "loss": 0.0004,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 1.1082910321489001,
924
+ "grad_norm": 0.003647689940407872,
925
+ "learning_rate": 1.2617033276931755e-05,
926
+ "loss": 0.0009,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 1.116751269035533,
931
+ "grad_norm": 0.005791259463876486,
932
+ "learning_rate": 1.2560631697687535e-05,
933
+ "loss": 0.0004,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 1.125211505922166,
938
+ "grad_norm": 0.0036105727776885033,
939
+ "learning_rate": 1.2504230118443317e-05,
940
+ "loss": 0.0005,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 1.1336717428087986,
945
+ "grad_norm": 0.0033262548968195915,
946
+ "learning_rate": 1.2447828539199098e-05,
947
+ "loss": 0.0003,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 1.1421319796954315,
952
+ "grad_norm": 0.003255200106650591,
953
+ "learning_rate": 1.239142695995488e-05,
954
+ "loss": 0.0003,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 1.1505922165820643,
959
+ "grad_norm": 0.0031492102425545454,
960
+ "learning_rate": 1.233502538071066e-05,
961
+ "loss": 0.0003,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 1.1590524534686972,
966
+ "grad_norm": 0.0031071833800524473,
967
+ "learning_rate": 1.2278623801466443e-05,
968
+ "loss": 0.0006,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 1.16751269035533,
973
+ "grad_norm": 0.003029242157936096,
974
+ "learning_rate": 1.2222222222222224e-05,
975
+ "loss": 0.0004,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 1.1759729272419628,
980
+ "grad_norm": 0.003054770641028881,
981
+ "learning_rate": 1.2165820642978003e-05,
982
+ "loss": 0.0004,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 1.1844331641285957,
987
+ "grad_norm": 0.002985539613291621,
988
+ "learning_rate": 1.2109419063733784e-05,
989
+ "loss": 0.0003,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 1.1928934010152283,
994
+ "grad_norm": 0.0029861750081181526,
995
+ "learning_rate": 1.2053017484489567e-05,
996
+ "loss": 0.0003,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 1.2013536379018612,
1001
+ "grad_norm": 0.0031786304898560047,
1002
+ "learning_rate": 1.1996615905245348e-05,
1003
+ "loss": 0.0003,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 1.2098138747884941,
1008
+ "grad_norm": 0.0029660591389983892,
1009
+ "learning_rate": 1.194021432600113e-05,
1010
+ "loss": 0.0003,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 1.218274111675127,
1015
+ "grad_norm": 0.0029080845415592194,
1016
+ "learning_rate": 1.188381274675691e-05,
1017
+ "loss": 0.0003,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 1.2267343485617597,
1022
+ "grad_norm": 0.003032978158444166,
1023
+ "learning_rate": 1.1827411167512693e-05,
1024
+ "loss": 0.0003,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 1.2351945854483926,
1029
+ "grad_norm": 0.0028783201705664396,
1030
+ "learning_rate": 1.1771009588268472e-05,
1031
+ "loss": 0.0003,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 1.2436548223350254,
1036
+ "grad_norm": 0.002919497899711132,
1037
+ "learning_rate": 1.1714608009024253e-05,
1038
+ "loss": 0.0003,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 1.252115059221658,
1043
+ "grad_norm": 0.002829916076734662,
1044
+ "learning_rate": 1.1658206429780034e-05,
1045
+ "loss": 0.0003,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 1.260575296108291,
1050
+ "grad_norm": 0.0028766861651092768,
1051
+ "learning_rate": 1.1601804850535815e-05,
1052
+ "loss": 0.0003,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 1.2690355329949239,
1057
+ "grad_norm": 0.0027290356811136007,
1058
+ "learning_rate": 1.1545403271291598e-05,
1059
+ "loss": 0.0003,
1060
+ "step": 1500
1061
+ }
1062
+ ],
1063
+ "logging_steps": 10,
1064
+ "max_steps": 3546,
1065
+ "num_input_tokens_seen": 0,
1066
+ "num_train_epochs": 3,
1067
+ "save_steps": 500,
1068
+ "stateful_callbacks": {
1069
+ "TrainerControl": {
1070
+ "args": {
1071
+ "should_epoch_stop": false,
1072
+ "should_evaluate": false,
1073
+ "should_log": false,
1074
+ "should_save": true,
1075
+ "should_training_stop": false
1076
+ },
1077
+ "attributes": {}
1078
+ }
1079
+ },
1080
+ "total_flos": 447932451722616.0,
1081
+ "train_batch_size": 8,
1082
+ "trial_name": null,
1083
+ "trial_params": null
1084
+ }
checkpoint-1500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4ff70b5fe38fa5c6975f0b6b12e0e6d5bcdf328c6f1785991115883fcf7fcf78
3
+ size 5240
checkpoint-1500/vocab.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-2000/config.json ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "activation": "gelu",
3
+ "architectures": [
4
+ "DistilBertForTokenClassification"
5
+ ],
6
+ "attention_dropout": 0.1,
7
+ "dim": 768,
8
+ "dropout": 0.1,
9
+ "hidden_dim": 3072,
10
+ "id2label": {
11
+ "0": "B-DATE",
12
+ "1": "B-EVENT",
13
+ "2": "B-TIME",
14
+ "3": "B-VENUE",
15
+ "4": "I-DATE",
16
+ "5": "I-EVENT",
17
+ "6": "I-TIME",
18
+ "7": "I-VENUE",
19
+ "8": "O"
20
+ },
21
+ "initializer_range": 0.02,
22
+ "label2id": {
23
+ "B-DATE": 0,
24
+ "B-EVENT": 1,
25
+ "B-TIME": 2,
26
+ "B-VENUE": 3,
27
+ "I-DATE": 4,
28
+ "I-EVENT": 5,
29
+ "I-TIME": 6,
30
+ "I-VENUE": 7,
31
+ "O": 8
32
+ },
33
+ "max_position_embeddings": 512,
34
+ "model_type": "distilbert",
35
+ "n_heads": 12,
36
+ "n_layers": 6,
37
+ "pad_token_id": 0,
38
+ "qa_dropout": 0.1,
39
+ "seq_classif_dropout": 0.2,
40
+ "sinusoidal_pos_embds": false,
41
+ "tie_weights_": true,
42
+ "torch_dtype": "float32",
43
+ "transformers_version": "4.52.4",
44
+ "vocab_size": 30522
45
+ }
checkpoint-2000/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8b067cf66dd3990402be5a632d28eaab797960edb6e6b23bac5f6e11b4008b83
3
+ size 265491548
checkpoint-2000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:852c2edec35f58d121f5b59c5806fc3871d06f29a365321c9082de3932227ca6
3
+ size 531043898
checkpoint-2000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:edb14ff2831eb5b6c987d06655ca8f36ecf0378744baee911bd163bbb1616318
3
+ size 14244
checkpoint-2000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:77aa2b202fd4689cfd4f28c0e62bbb488bd5bc63859ea510c099bf02ad4af65e
3
+ size 1064
checkpoint-2000/special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "mask_token": "[MASK]",
4
+ "pad_token": "[PAD]",
5
+ "sep_token": "[SEP]",
6
+ "unk_token": "[UNK]"
7
+ }
checkpoint-2000/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-2000/tokenizer_config.json ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[PAD]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "100": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "101": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "102": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "103": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "clean_up_tokenization_spaces": false,
45
+ "cls_token": "[CLS]",
46
+ "do_lower_case": true,
47
+ "extra_special_tokens": {},
48
+ "mask_token": "[MASK]",
49
+ "model_max_length": 512,
50
+ "pad_token": "[PAD]",
51
+ "sep_token": "[SEP]",
52
+ "strip_accents": null,
53
+ "tokenize_chinese_chars": true,
54
+ "tokenizer_class": "DistilBertTokenizer",
55
+ "unk_token": "[UNK]"
56
+ }
checkpoint-2000/trainer_state.json ADDED
@@ -0,0 +1,1434 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.6920473773265652,
6
+ "eval_steps": 500,
7
+ "global_step": 2000,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.008460236886632826,
14
+ "grad_norm": 2.4233109951019287,
15
+ "learning_rate": 1.9949238578680207e-05,
16
+ "loss": 1.3216,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.01692047377326565,
21
+ "grad_norm": 1.1721662282943726,
22
+ "learning_rate": 1.9892836999435986e-05,
23
+ "loss": 0.5312,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.025380710659898477,
28
+ "grad_norm": 0.899889349937439,
29
+ "learning_rate": 1.9836435420191765e-05,
30
+ "loss": 0.2969,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.0338409475465313,
35
+ "grad_norm": 0.4674186408519745,
36
+ "learning_rate": 1.9780033840947548e-05,
37
+ "loss": 0.1564,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.04230118443316413,
42
+ "grad_norm": 0.9013752937316895,
43
+ "learning_rate": 1.972363226170333e-05,
44
+ "loss": 0.0966,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.050761421319796954,
49
+ "grad_norm": 0.364164799451828,
50
+ "learning_rate": 1.966723068245911e-05,
51
+ "loss": 0.0516,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.05922165820642978,
56
+ "grad_norm": 0.22717136144638062,
57
+ "learning_rate": 1.9610829103214893e-05,
58
+ "loss": 0.0307,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.0676818950930626,
63
+ "grad_norm": 0.09149003773927689,
64
+ "learning_rate": 1.9554427523970672e-05,
65
+ "loss": 0.0182,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.07614213197969544,
70
+ "grad_norm": 0.12942063808441162,
71
+ "learning_rate": 1.949802594472645e-05,
72
+ "loss": 0.017,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.08460236886632826,
77
+ "grad_norm": 0.27440059185028076,
78
+ "learning_rate": 1.9441624365482234e-05,
79
+ "loss": 0.0113,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.09306260575296109,
84
+ "grad_norm": 0.5005059242248535,
85
+ "learning_rate": 1.9385222786238017e-05,
86
+ "loss": 0.0082,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.10152284263959391,
91
+ "grad_norm": 0.19820384681224823,
92
+ "learning_rate": 1.9328821206993796e-05,
93
+ "loss": 0.0057,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.10998307952622674,
98
+ "grad_norm": 0.03431914001703262,
99
+ "learning_rate": 1.927241962774958e-05,
100
+ "loss": 0.0055,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.11844331641285956,
105
+ "grad_norm": 0.4414117634296417,
106
+ "learning_rate": 1.921601804850536e-05,
107
+ "loss": 0.0063,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.12690355329949238,
112
+ "grad_norm": 0.9055352807044983,
113
+ "learning_rate": 1.915961646926114e-05,
114
+ "loss": 0.0048,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.1353637901861252,
119
+ "grad_norm": 0.036724768579006195,
120
+ "learning_rate": 1.910321489001692e-05,
121
+ "loss": 0.0035,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.14382402707275804,
126
+ "grad_norm": 0.0888664722442627,
127
+ "learning_rate": 1.9046813310772703e-05,
128
+ "loss": 0.0033,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.15228426395939088,
133
+ "grad_norm": 0.019098607823252678,
134
+ "learning_rate": 1.8990411731528486e-05,
135
+ "loss": 0.0029,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.16074450084602368,
140
+ "grad_norm": 0.0171552412211895,
141
+ "learning_rate": 1.8934010152284265e-05,
142
+ "loss": 0.0029,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.1692047377326565,
147
+ "grad_norm": 0.01885647512972355,
148
+ "learning_rate": 1.8877608573040048e-05,
149
+ "loss": 0.0028,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.17766497461928935,
154
+ "grad_norm": 0.01599389687180519,
155
+ "learning_rate": 1.8821206993795827e-05,
156
+ "loss": 0.0022,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.18612521150592218,
161
+ "grad_norm": 0.017242038622498512,
162
+ "learning_rate": 1.876480541455161e-05,
163
+ "loss": 0.0023,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.19458544839255498,
168
+ "grad_norm": 0.5941590666770935,
169
+ "learning_rate": 1.870840383530739e-05,
170
+ "loss": 0.0031,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.20304568527918782,
175
+ "grad_norm": 0.4872148931026459,
176
+ "learning_rate": 1.8652002256063172e-05,
177
+ "loss": 0.0027,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.21150592216582065,
182
+ "grad_norm": 0.014173777773976326,
183
+ "learning_rate": 1.859560067681895e-05,
184
+ "loss": 0.0021,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.21996615905245348,
189
+ "grad_norm": 0.024433018639683723,
190
+ "learning_rate": 1.8539199097574734e-05,
191
+ "loss": 0.0017,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.22842639593908629,
196
+ "grad_norm": 0.017857005819678307,
197
+ "learning_rate": 1.8482797518330516e-05,
198
+ "loss": 0.0017,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.23688663282571912,
203
+ "grad_norm": 0.014704135246574879,
204
+ "learning_rate": 1.8426395939086296e-05,
205
+ "loss": 0.0021,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.24534686971235195,
210
+ "grad_norm": 0.022361995652318,
211
+ "learning_rate": 1.8369994359842075e-05,
212
+ "loss": 0.0016,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.25380710659898476,
217
+ "grad_norm": 0.01112055778503418,
218
+ "learning_rate": 1.8313592780597858e-05,
219
+ "loss": 0.0015,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.2622673434856176,
224
+ "grad_norm": 0.010048450902104378,
225
+ "learning_rate": 1.825719120135364e-05,
226
+ "loss": 0.0015,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.2707275803722504,
231
+ "grad_norm": 0.012935510836541653,
232
+ "learning_rate": 1.820078962210942e-05,
233
+ "loss": 0.0014,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.27918781725888325,
238
+ "grad_norm": 0.010541570372879505,
239
+ "learning_rate": 1.8144388042865203e-05,
240
+ "loss": 0.0013,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.2876480541455161,
245
+ "grad_norm": 0.009258048608899117,
246
+ "learning_rate": 1.8087986463620982e-05,
247
+ "loss": 0.0012,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.2961082910321489,
252
+ "grad_norm": 0.009454768151044846,
253
+ "learning_rate": 1.8031584884376765e-05,
254
+ "loss": 0.0015,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.30456852791878175,
259
+ "grad_norm": 0.018366724252700806,
260
+ "learning_rate": 1.7975183305132544e-05,
261
+ "loss": 0.0012,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.3130287648054145,
266
+ "grad_norm": 0.009252658113837242,
267
+ "learning_rate": 1.7918781725888327e-05,
268
+ "loss": 0.0011,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.32148900169204736,
273
+ "grad_norm": 0.1430797576904297,
274
+ "learning_rate": 1.7862380146644106e-05,
275
+ "loss": 0.0018,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.3299492385786802,
280
+ "grad_norm": 0.009182159788906574,
281
+ "learning_rate": 1.780597856739989e-05,
282
+ "loss": 0.0018,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.338409475465313,
287
+ "grad_norm": 0.00843009352684021,
288
+ "learning_rate": 1.774957698815567e-05,
289
+ "loss": 0.0017,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.34686971235194586,
294
+ "grad_norm": 0.008176930248737335,
295
+ "learning_rate": 1.769317540891145e-05,
296
+ "loss": 0.0013,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.3553299492385787,
301
+ "grad_norm": 0.008539380505681038,
302
+ "learning_rate": 1.7636773829667233e-05,
303
+ "loss": 0.001,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.3637901861252115,
308
+ "grad_norm": 0.008693977259099483,
309
+ "learning_rate": 1.7580372250423013e-05,
310
+ "loss": 0.0014,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.37225042301184436,
315
+ "grad_norm": 0.009141940623521805,
316
+ "learning_rate": 1.7523970671178795e-05,
317
+ "loss": 0.0012,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.38071065989847713,
322
+ "grad_norm": 0.009133282117545605,
323
+ "learning_rate": 1.7467569091934575e-05,
324
+ "loss": 0.0015,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.38917089678510997,
329
+ "grad_norm": 0.5799979567527771,
330
+ "learning_rate": 1.7411167512690357e-05,
331
+ "loss": 0.0013,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.3976311336717428,
336
+ "grad_norm": 0.04120843857526779,
337
+ "learning_rate": 1.7354765933446137e-05,
338
+ "loss": 0.0011,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.40609137055837563,
343
+ "grad_norm": 0.01276948768645525,
344
+ "learning_rate": 1.729836435420192e-05,
345
+ "loss": 0.0012,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.41455160744500846,
350
+ "grad_norm": 0.0076572224497795105,
351
+ "learning_rate": 1.7241962774957702e-05,
352
+ "loss": 0.0014,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.4230118443316413,
357
+ "grad_norm": 0.008293437771499157,
358
+ "learning_rate": 1.718556119571348e-05,
359
+ "loss": 0.0009,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.43147208121827413,
364
+ "grad_norm": 0.0068985214456915855,
365
+ "learning_rate": 1.712915961646926e-05,
366
+ "loss": 0.0009,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.43993231810490696,
371
+ "grad_norm": 0.029666345566511154,
372
+ "learning_rate": 1.7072758037225043e-05,
373
+ "loss": 0.0009,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.44839255499153974,
378
+ "grad_norm": 0.014065027236938477,
379
+ "learning_rate": 1.7016356457980826e-05,
380
+ "loss": 0.0008,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.45685279187817257,
385
+ "grad_norm": 0.00650499714538455,
386
+ "learning_rate": 1.6959954878736606e-05,
387
+ "loss": 0.0008,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.4653130287648054,
392
+ "grad_norm": 0.0065047661773860455,
393
+ "learning_rate": 1.6903553299492388e-05,
394
+ "loss": 0.0008,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.47377326565143824,
399
+ "grad_norm": 0.0071571446023881435,
400
+ "learning_rate": 1.684715172024817e-05,
401
+ "loss": 0.0008,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.48223350253807107,
406
+ "grad_norm": 0.005875805858522654,
407
+ "learning_rate": 1.679075014100395e-05,
408
+ "loss": 0.0008,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.4906937394247039,
413
+ "grad_norm": 0.005848041269928217,
414
+ "learning_rate": 1.673434856175973e-05,
415
+ "loss": 0.0007,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.49915397631133673,
420
+ "grad_norm": 0.006032396107912064,
421
+ "learning_rate": 1.6677946982515512e-05,
422
+ "loss": 0.0007,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.5076142131979695,
427
+ "grad_norm": 0.005858593620359898,
428
+ "learning_rate": 1.662154540327129e-05,
429
+ "loss": 0.0007,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.5160744500846024,
434
+ "grad_norm": 0.006055026315152645,
435
+ "learning_rate": 1.6565143824027074e-05,
436
+ "loss": 0.0007,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.5245346869712352,
441
+ "grad_norm": 0.0055991546250879765,
442
+ "learning_rate": 1.6508742244782857e-05,
443
+ "loss": 0.0039,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.5329949238578681,
448
+ "grad_norm": 0.006043154280632734,
449
+ "learning_rate": 1.6452340665538636e-05,
450
+ "loss": 0.0009,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.5414551607445008,
455
+ "grad_norm": 0.006406570319086313,
456
+ "learning_rate": 1.6395939086294416e-05,
457
+ "loss": 0.0008,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.5499153976311336,
462
+ "grad_norm": 0.006317532621324062,
463
+ "learning_rate": 1.63395375070502e-05,
464
+ "loss": 0.0007,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.5583756345177665,
469
+ "grad_norm": 0.0260737594217062,
470
+ "learning_rate": 1.628313592780598e-05,
471
+ "loss": 0.0007,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.5668358714043993,
476
+ "grad_norm": 0.005516720470041037,
477
+ "learning_rate": 1.622673434856176e-05,
478
+ "loss": 0.0007,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.5752961082910322,
483
+ "grad_norm": 0.005611425265669823,
484
+ "learning_rate": 1.6170332769317543e-05,
485
+ "loss": 0.0006,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.583756345177665,
490
+ "grad_norm": 0.005698953289538622,
491
+ "learning_rate": 1.6113931190073326e-05,
492
+ "loss": 0.0006,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.5922165820642978,
497
+ "grad_norm": 0.005045793950557709,
498
+ "learning_rate": 1.6057529610829105e-05,
499
+ "loss": 0.0006,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.6006768189509306,
504
+ "grad_norm": 0.005404220428317785,
505
+ "learning_rate": 1.6001128031584884e-05,
506
+ "loss": 0.0007,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.6091370558375635,
511
+ "grad_norm": 0.005528539884835482,
512
+ "learning_rate": 1.5944726452340667e-05,
513
+ "loss": 0.0007,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.6175972927241963,
518
+ "grad_norm": 0.0052613625302910805,
519
+ "learning_rate": 1.5888324873096446e-05,
520
+ "loss": 0.0006,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.626057529610829,
525
+ "grad_norm": 0.0050328257493674755,
526
+ "learning_rate": 1.583192329385223e-05,
527
+ "loss": 0.0006,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.6345177664974619,
532
+ "grad_norm": 0.005106599070131779,
533
+ "learning_rate": 1.5775521714608012e-05,
534
+ "loss": 0.0006,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.6429780033840947,
539
+ "grad_norm": 0.004836504813283682,
540
+ "learning_rate": 1.571912013536379e-05,
541
+ "loss": 0.0006,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.6514382402707276,
546
+ "grad_norm": 0.004986999090760946,
547
+ "learning_rate": 1.566271855611957e-05,
548
+ "loss": 0.0006,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.6598984771573604,
553
+ "grad_norm": 0.005235906690359116,
554
+ "learning_rate": 1.5606316976875353e-05,
555
+ "loss": 0.0005,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.6683587140439933,
560
+ "grad_norm": 0.4625732898712158,
561
+ "learning_rate": 1.5549915397631136e-05,
562
+ "loss": 0.0009,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.676818950930626,
567
+ "grad_norm": 0.004936546087265015,
568
+ "learning_rate": 1.5493513818386915e-05,
569
+ "loss": 0.0006,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.6852791878172588,
574
+ "grad_norm": 0.004956043791025877,
575
+ "learning_rate": 1.5437112239142698e-05,
576
+ "loss": 0.0005,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.6937394247038917,
581
+ "grad_norm": 0.005084918346256018,
582
+ "learning_rate": 1.538071065989848e-05,
583
+ "loss": 0.0005,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.7021996615905245,
588
+ "grad_norm": 0.006050592288374901,
589
+ "learning_rate": 1.532430908065426e-05,
590
+ "loss": 0.0005,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.7106598984771574,
595
+ "grad_norm": 0.0045923274010419846,
596
+ "learning_rate": 1.526790750141004e-05,
597
+ "loss": 0.0005,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.7191201353637902,
602
+ "grad_norm": 0.004406214691698551,
603
+ "learning_rate": 1.5211505922165822e-05,
604
+ "loss": 0.0005,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.727580372250423,
609
+ "grad_norm": 0.00449965288862586,
610
+ "learning_rate": 1.5155104342921603e-05,
611
+ "loss": 0.0005,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.7360406091370558,
616
+ "grad_norm": 0.00427517294883728,
617
+ "learning_rate": 1.5098702763677384e-05,
618
+ "loss": 0.0006,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.7445008460236887,
623
+ "grad_norm": 0.006013456266373396,
624
+ "learning_rate": 1.5042301184433165e-05,
625
+ "loss": 0.0005,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.7529610829103215,
630
+ "grad_norm": 0.004456107504665852,
631
+ "learning_rate": 1.4985899605188948e-05,
632
+ "loss": 0.0005,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.7614213197969543,
637
+ "grad_norm": 0.004223175812512636,
638
+ "learning_rate": 1.4929498025944729e-05,
639
+ "loss": 0.0005,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.7698815566835872,
644
+ "grad_norm": 0.004154487047344446,
645
+ "learning_rate": 1.4873096446700508e-05,
646
+ "loss": 0.0005,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.7783417935702199,
651
+ "grad_norm": 0.007055574096739292,
652
+ "learning_rate": 1.4816694867456289e-05,
653
+ "loss": 0.0005,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.7868020304568528,
658
+ "grad_norm": 0.005269153974950314,
659
+ "learning_rate": 1.476029328821207e-05,
660
+ "loss": 0.0005,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.7952622673434856,
665
+ "grad_norm": 0.004041856154799461,
666
+ "learning_rate": 1.4703891708967853e-05,
667
+ "loss": 0.0005,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.8037225042301185,
672
+ "grad_norm": 0.003965588286519051,
673
+ "learning_rate": 1.4647490129723634e-05,
674
+ "loss": 0.0005,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.8121827411167513,
679
+ "grad_norm": 0.005661304574459791,
680
+ "learning_rate": 1.4591088550479415e-05,
681
+ "loss": 0.0005,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.8206429780033841,
686
+ "grad_norm": 0.0039055896922945976,
687
+ "learning_rate": 1.4534686971235198e-05,
688
+ "loss": 0.0011,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.8291032148900169,
693
+ "grad_norm": 1.8310741186141968,
694
+ "learning_rate": 1.4478285391990977e-05,
695
+ "loss": 0.001,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.8375634517766497,
700
+ "grad_norm": 0.005107107572257519,
701
+ "learning_rate": 1.4421883812746758e-05,
702
+ "loss": 0.0008,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.8460236886632826,
707
+ "grad_norm": 0.005387498531490564,
708
+ "learning_rate": 1.4365482233502539e-05,
709
+ "loss": 0.0005,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.8544839255499154,
714
+ "grad_norm": 0.0051966467872262,
715
+ "learning_rate": 1.430908065425832e-05,
716
+ "loss": 0.0005,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.8629441624365483,
721
+ "grad_norm": 0.004603747744113207,
722
+ "learning_rate": 1.4252679075014103e-05,
723
+ "loss": 0.0005,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.871404399323181,
728
+ "grad_norm": 0.0113060986623168,
729
+ "learning_rate": 1.4196277495769884e-05,
730
+ "loss": 0.0005,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.8798646362098139,
735
+ "grad_norm": 0.004159980919212103,
736
+ "learning_rate": 1.4139875916525665e-05,
737
+ "loss": 0.0004,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.8883248730964467,
742
+ "grad_norm": 0.004094019532203674,
743
+ "learning_rate": 1.4083474337281444e-05,
744
+ "loss": 0.0004,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.8967851099830795,
749
+ "grad_norm": 0.00435257563367486,
750
+ "learning_rate": 1.4027072758037225e-05,
751
+ "loss": 0.0004,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.9052453468697124,
756
+ "grad_norm": 0.003843541955575347,
757
+ "learning_rate": 1.3970671178793008e-05,
758
+ "loss": 0.0004,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.9137055837563451,
763
+ "grad_norm": 0.16885782778263092,
764
+ "learning_rate": 1.3914269599548789e-05,
765
+ "loss": 0.0005,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.922165820642978,
770
+ "grad_norm": 0.0037802334409207106,
771
+ "learning_rate": 1.385786802030457e-05,
772
+ "loss": 0.0004,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.9306260575296108,
777
+ "grad_norm": 0.0037738329265266657,
778
+ "learning_rate": 1.3801466441060352e-05,
779
+ "loss": 0.0005,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.9390862944162437,
784
+ "grad_norm": 0.012493060901761055,
785
+ "learning_rate": 1.374506486181613e-05,
786
+ "loss": 0.0004,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.9475465313028765,
791
+ "grad_norm": 0.0037303464487195015,
792
+ "learning_rate": 1.3688663282571913e-05,
793
+ "loss": 0.0004,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.9560067681895094,
798
+ "grad_norm": 0.0035704418551176786,
799
+ "learning_rate": 1.3632261703327694e-05,
800
+ "loss": 0.0007,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.9644670050761421,
805
+ "grad_norm": 0.0038276014383882284,
806
+ "learning_rate": 1.3575860124083475e-05,
807
+ "loss": 0.0004,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.9729272419627749,
812
+ "grad_norm": 0.004172508604824543,
813
+ "learning_rate": 1.3519458544839257e-05,
814
+ "loss": 0.0004,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.9813874788494078,
819
+ "grad_norm": 0.20282192528247833,
820
+ "learning_rate": 1.3463056965595038e-05,
821
+ "loss": 0.0004,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.9898477157360406,
826
+ "grad_norm": 0.0035703997127711773,
827
+ "learning_rate": 1.340665538635082e-05,
828
+ "loss": 0.0004,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.9983079526226735,
833
+ "grad_norm": 0.003505186177790165,
834
+ "learning_rate": 1.3350253807106599e-05,
835
+ "loss": 0.0004,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 1.0067681895093064,
840
+ "grad_norm": 0.003632462117820978,
841
+ "learning_rate": 1.329385222786238e-05,
842
+ "loss": 0.0004,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 1.015228426395939,
847
+ "grad_norm": 0.0034904363565146923,
848
+ "learning_rate": 1.3237450648618163e-05,
849
+ "loss": 0.0004,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 1.023688663282572,
854
+ "grad_norm": 0.003400213085114956,
855
+ "learning_rate": 1.3181049069373944e-05,
856
+ "loss": 0.0004,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 1.0321489001692048,
861
+ "grad_norm": 0.02098667249083519,
862
+ "learning_rate": 1.3124647490129725e-05,
863
+ "loss": 0.0004,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 1.0406091370558375,
868
+ "grad_norm": 0.0033113211393356323,
869
+ "learning_rate": 1.3068245910885506e-05,
870
+ "loss": 0.0004,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 1.0490693739424704,
875
+ "grad_norm": 0.0075438846834003925,
876
+ "learning_rate": 1.3011844331641288e-05,
877
+ "loss": 0.001,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 1.0575296108291032,
882
+ "grad_norm": 0.003400578862056136,
883
+ "learning_rate": 1.2955442752397068e-05,
884
+ "loss": 0.0006,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 1.0659898477157361,
889
+ "grad_norm": 0.003571244655176997,
890
+ "learning_rate": 1.2899041173152849e-05,
891
+ "loss": 0.0004,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 1.0744500846023688,
896
+ "grad_norm": 0.0032794324215501547,
897
+ "learning_rate": 1.284263959390863e-05,
898
+ "loss": 0.0004,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 1.0829103214890017,
903
+ "grad_norm": 0.0032312178518623114,
904
+ "learning_rate": 1.2786238014664412e-05,
905
+ "loss": 0.0011,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 1.0913705583756346,
910
+ "grad_norm": 0.003224333981052041,
911
+ "learning_rate": 1.2729836435420193e-05,
912
+ "loss": 0.0003,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 1.0998307952622675,
917
+ "grad_norm": 0.0033167279325425625,
918
+ "learning_rate": 1.2673434856175974e-05,
919
+ "loss": 0.0004,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 1.1082910321489001,
924
+ "grad_norm": 0.003647689940407872,
925
+ "learning_rate": 1.2617033276931755e-05,
926
+ "loss": 0.0009,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 1.116751269035533,
931
+ "grad_norm": 0.005791259463876486,
932
+ "learning_rate": 1.2560631697687535e-05,
933
+ "loss": 0.0004,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 1.125211505922166,
938
+ "grad_norm": 0.0036105727776885033,
939
+ "learning_rate": 1.2504230118443317e-05,
940
+ "loss": 0.0005,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 1.1336717428087986,
945
+ "grad_norm": 0.0033262548968195915,
946
+ "learning_rate": 1.2447828539199098e-05,
947
+ "loss": 0.0003,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 1.1421319796954315,
952
+ "grad_norm": 0.003255200106650591,
953
+ "learning_rate": 1.239142695995488e-05,
954
+ "loss": 0.0003,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 1.1505922165820643,
959
+ "grad_norm": 0.0031492102425545454,
960
+ "learning_rate": 1.233502538071066e-05,
961
+ "loss": 0.0003,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 1.1590524534686972,
966
+ "grad_norm": 0.0031071833800524473,
967
+ "learning_rate": 1.2278623801466443e-05,
968
+ "loss": 0.0006,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 1.16751269035533,
973
+ "grad_norm": 0.003029242157936096,
974
+ "learning_rate": 1.2222222222222224e-05,
975
+ "loss": 0.0004,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 1.1759729272419628,
980
+ "grad_norm": 0.003054770641028881,
981
+ "learning_rate": 1.2165820642978003e-05,
982
+ "loss": 0.0004,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 1.1844331641285957,
987
+ "grad_norm": 0.002985539613291621,
988
+ "learning_rate": 1.2109419063733784e-05,
989
+ "loss": 0.0003,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 1.1928934010152283,
994
+ "grad_norm": 0.0029861750081181526,
995
+ "learning_rate": 1.2053017484489567e-05,
996
+ "loss": 0.0003,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 1.2013536379018612,
1001
+ "grad_norm": 0.0031786304898560047,
1002
+ "learning_rate": 1.1996615905245348e-05,
1003
+ "loss": 0.0003,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 1.2098138747884941,
1008
+ "grad_norm": 0.0029660591389983892,
1009
+ "learning_rate": 1.194021432600113e-05,
1010
+ "loss": 0.0003,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 1.218274111675127,
1015
+ "grad_norm": 0.0029080845415592194,
1016
+ "learning_rate": 1.188381274675691e-05,
1017
+ "loss": 0.0003,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 1.2267343485617597,
1022
+ "grad_norm": 0.003032978158444166,
1023
+ "learning_rate": 1.1827411167512693e-05,
1024
+ "loss": 0.0003,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 1.2351945854483926,
1029
+ "grad_norm": 0.0028783201705664396,
1030
+ "learning_rate": 1.1771009588268472e-05,
1031
+ "loss": 0.0003,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 1.2436548223350254,
1036
+ "grad_norm": 0.002919497899711132,
1037
+ "learning_rate": 1.1714608009024253e-05,
1038
+ "loss": 0.0003,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 1.252115059221658,
1043
+ "grad_norm": 0.002829916076734662,
1044
+ "learning_rate": 1.1658206429780034e-05,
1045
+ "loss": 0.0003,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 1.260575296108291,
1050
+ "grad_norm": 0.0028766861651092768,
1051
+ "learning_rate": 1.1601804850535815e-05,
1052
+ "loss": 0.0003,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 1.2690355329949239,
1057
+ "grad_norm": 0.0027290356811136007,
1058
+ "learning_rate": 1.1545403271291598e-05,
1059
+ "loss": 0.0003,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 1.2774957698815568,
1064
+ "grad_norm": 0.0027461503632366657,
1065
+ "learning_rate": 1.1489001692047379e-05,
1066
+ "loss": 0.0003,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 1.2859560067681894,
1071
+ "grad_norm": 0.0027623216155916452,
1072
+ "learning_rate": 1.143260011280316e-05,
1073
+ "loss": 0.0003,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 1.2944162436548223,
1078
+ "grad_norm": 0.0028906099032610655,
1079
+ "learning_rate": 1.137619853355894e-05,
1080
+ "loss": 0.0003,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 1.3028764805414552,
1085
+ "grad_norm": 0.0027789094019681215,
1086
+ "learning_rate": 1.1319796954314722e-05,
1087
+ "loss": 0.0003,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 1.3113367174280879,
1092
+ "grad_norm": 0.00271011283621192,
1093
+ "learning_rate": 1.1263395375070503e-05,
1094
+ "loss": 0.0003,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 1.3197969543147208,
1099
+ "grad_norm": 0.002672335831448436,
1100
+ "learning_rate": 1.1206993795826284e-05,
1101
+ "loss": 0.0003,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 1.3282571912013537,
1106
+ "grad_norm": 0.002650258131325245,
1107
+ "learning_rate": 1.1150592216582065e-05,
1108
+ "loss": 0.0003,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 1.3367174280879865,
1113
+ "grad_norm": 0.002780508017167449,
1114
+ "learning_rate": 1.1094190637337848e-05,
1115
+ "loss": 0.0003,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 1.3451776649746192,
1120
+ "grad_norm": 0.0026137123350054026,
1121
+ "learning_rate": 1.1037789058093627e-05,
1122
+ "loss": 0.0003,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 1.353637901861252,
1127
+ "grad_norm": 0.0026269517838954926,
1128
+ "learning_rate": 1.0981387478849408e-05,
1129
+ "loss": 0.0003,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 1.362098138747885,
1134
+ "grad_norm": 0.0025848057121038437,
1135
+ "learning_rate": 1.092498589960519e-05,
1136
+ "loss": 0.0003,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 1.3705583756345177,
1141
+ "grad_norm": 0.0025470599066466093,
1142
+ "learning_rate": 1.086858432036097e-05,
1143
+ "loss": 0.0003,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 1.3790186125211505,
1148
+ "grad_norm": 0.0027439745608717203,
1149
+ "learning_rate": 1.0812182741116753e-05,
1150
+ "loss": 0.0003,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 1.3874788494077834,
1155
+ "grad_norm": 0.002537579508498311,
1156
+ "learning_rate": 1.0755781161872534e-05,
1157
+ "loss": 0.0003,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 1.3959390862944163,
1162
+ "grad_norm": 0.0025688863825052977,
1163
+ "learning_rate": 1.0699379582628315e-05,
1164
+ "loss": 0.0003,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 1.404399323181049,
1169
+ "grad_norm": 0.0026179850101470947,
1170
+ "learning_rate": 1.0642978003384094e-05,
1171
+ "loss": 0.0003,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 1.4128595600676819,
1176
+ "grad_norm": 0.002496235305443406,
1177
+ "learning_rate": 1.0586576424139875e-05,
1178
+ "loss": 0.0003,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 1.4213197969543148,
1183
+ "grad_norm": 0.0026708145160228014,
1184
+ "learning_rate": 1.0530174844895658e-05,
1185
+ "loss": 0.0003,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 1.4297800338409474,
1190
+ "grad_norm": 0.0025831579696387053,
1191
+ "learning_rate": 1.0473773265651439e-05,
1192
+ "loss": 0.0003,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 1.4382402707275803,
1197
+ "grad_norm": 0.0024914774112403393,
1198
+ "learning_rate": 1.041737168640722e-05,
1199
+ "loss": 0.0003,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 1.4467005076142132,
1204
+ "grad_norm": 0.002529192017391324,
1205
+ "learning_rate": 1.0360970107163003e-05,
1206
+ "loss": 0.0003,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 1.455160744500846,
1211
+ "grad_norm": 0.0024393699131906033,
1212
+ "learning_rate": 1.0304568527918784e-05,
1213
+ "loss": 0.0011,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 1.463620981387479,
1218
+ "grad_norm": 0.0043233660981059074,
1219
+ "learning_rate": 1.0248166948674563e-05,
1220
+ "loss": 0.0004,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 1.4720812182741116,
1225
+ "grad_norm": 0.002547438722103834,
1226
+ "learning_rate": 1.0191765369430344e-05,
1227
+ "loss": 0.0005,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 1.4805414551607445,
1232
+ "grad_norm": 0.0025178396608680487,
1233
+ "learning_rate": 1.0135363790186125e-05,
1234
+ "loss": 0.0003,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 1.4890016920473772,
1239
+ "grad_norm": 0.003602534532546997,
1240
+ "learning_rate": 1.0078962210941908e-05,
1241
+ "loss": 0.0003,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 1.49746192893401,
1246
+ "grad_norm": 0.002990358741953969,
1247
+ "learning_rate": 1.0022560631697689e-05,
1248
+ "loss": 0.0003,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 1.505922165820643,
1253
+ "grad_norm": 0.0024538026191294193,
1254
+ "learning_rate": 9.96615905245347e-06,
1255
+ "loss": 0.0003,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 1.5143824027072759,
1260
+ "grad_norm": 0.0024382509291172028,
1261
+ "learning_rate": 9.90975747320925e-06,
1262
+ "loss": 0.0003,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 1.5228426395939088,
1267
+ "grad_norm": 0.0026386724784970284,
1268
+ "learning_rate": 9.853355893965032e-06,
1269
+ "loss": 0.0003,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 1.5313028764805414,
1274
+ "grad_norm": 0.0023787450045347214,
1275
+ "learning_rate": 9.796954314720813e-06,
1276
+ "loss": 0.0003,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 1.5397631133671743,
1281
+ "grad_norm": 0.002435258822515607,
1282
+ "learning_rate": 9.740552735476594e-06,
1283
+ "loss": 0.0003,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 1.548223350253807,
1288
+ "grad_norm": 0.32252246141433716,
1289
+ "learning_rate": 9.684151156232375e-06,
1290
+ "loss": 0.0003,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 1.5566835871404399,
1295
+ "grad_norm": 0.0023758108727633953,
1296
+ "learning_rate": 9.627749576988158e-06,
1297
+ "loss": 0.0003,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 1.5651438240270727,
1302
+ "grad_norm": 0.0023211485240608454,
1303
+ "learning_rate": 9.571347997743937e-06,
1304
+ "loss": 0.0003,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 1.5736040609137056,
1309
+ "grad_norm": 0.002314375713467598,
1310
+ "learning_rate": 9.514946418499718e-06,
1311
+ "loss": 0.0003,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 1.5820642978003385,
1316
+ "grad_norm": 0.0023043151013553143,
1317
+ "learning_rate": 9.4585448392555e-06,
1318
+ "loss": 0.0003,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 1.5905245346869712,
1323
+ "grad_norm": 0.0022787386551499367,
1324
+ "learning_rate": 9.402143260011282e-06,
1325
+ "loss": 0.0002,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 1.598984771573604,
1330
+ "grad_norm": 0.0022805132903158665,
1331
+ "learning_rate": 9.345741680767063e-06,
1332
+ "loss": 0.0003,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 1.6074450084602367,
1337
+ "grad_norm": 0.0022434191778302193,
1338
+ "learning_rate": 9.289340101522844e-06,
1339
+ "loss": 0.0003,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 1.6159052453468696,
1344
+ "grad_norm": 0.0022070412524044514,
1345
+ "learning_rate": 9.232938522278625e-06,
1346
+ "loss": 0.0002,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 1.6243654822335025,
1351
+ "grad_norm": 0.002298792591318488,
1352
+ "learning_rate": 9.176536943034406e-06,
1353
+ "loss": 0.0002,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 1.6328257191201354,
1358
+ "grad_norm": 0.002347590634599328,
1359
+ "learning_rate": 9.120135363790187e-06,
1360
+ "loss": 0.0002,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 1.6412859560067683,
1365
+ "grad_norm": 0.0022417185828089714,
1366
+ "learning_rate": 9.063733784545968e-06,
1367
+ "loss": 0.0002,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 1.649746192893401,
1372
+ "grad_norm": 0.002178118098527193,
1373
+ "learning_rate": 9.007332205301749e-06,
1374
+ "loss": 0.0002,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 1.6582064297800339,
1379
+ "grad_norm": 0.002204876858741045,
1380
+ "learning_rate": 8.95093062605753e-06,
1381
+ "loss": 0.0002,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 1.6666666666666665,
1386
+ "grad_norm": 0.0021794794593006372,
1387
+ "learning_rate": 8.894529046813312e-06,
1388
+ "loss": 0.0002,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 1.6751269035532994,
1393
+ "grad_norm": 0.002448797458782792,
1394
+ "learning_rate": 8.838127467569093e-06,
1395
+ "loss": 0.0002,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 1.6835871404399323,
1400
+ "grad_norm": 0.00216574571095407,
1401
+ "learning_rate": 8.781725888324873e-06,
1402
+ "loss": 0.0002,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 1.6920473773265652,
1407
+ "grad_norm": 0.0022357029374688864,
1408
+ "learning_rate": 8.725324309080655e-06,
1409
+ "loss": 0.0002,
1410
+ "step": 2000
1411
+ }
1412
+ ],
1413
+ "logging_steps": 10,
1414
+ "max_steps": 3546,
1415
+ "num_input_tokens_seen": 0,
1416
+ "num_train_epochs": 3,
1417
+ "save_steps": 500,
1418
+ "stateful_callbacks": {
1419
+ "TrainerControl": {
1420
+ "args": {
1421
+ "should_epoch_stop": false,
1422
+ "should_evaluate": false,
1423
+ "should_log": false,
1424
+ "should_save": true,
1425
+ "should_training_stop": false
1426
+ },
1427
+ "attributes": {}
1428
+ }
1429
+ },
1430
+ "total_flos": 596977505978616.0,
1431
+ "train_batch_size": 8,
1432
+ "trial_name": null,
1433
+ "trial_params": null
1434
+ }
checkpoint-2000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4ff70b5fe38fa5c6975f0b6b12e0e6d5bcdf328c6f1785991115883fcf7fcf78
3
+ size 5240
checkpoint-2000/vocab.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-2500/config.json ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "activation": "gelu",
3
+ "architectures": [
4
+ "DistilBertForTokenClassification"
5
+ ],
6
+ "attention_dropout": 0.1,
7
+ "dim": 768,
8
+ "dropout": 0.1,
9
+ "hidden_dim": 3072,
10
+ "id2label": {
11
+ "0": "B-DATE",
12
+ "1": "B-EVENT",
13
+ "2": "B-TIME",
14
+ "3": "B-VENUE",
15
+ "4": "I-DATE",
16
+ "5": "I-EVENT",
17
+ "6": "I-TIME",
18
+ "7": "I-VENUE",
19
+ "8": "O"
20
+ },
21
+ "initializer_range": 0.02,
22
+ "label2id": {
23
+ "B-DATE": 0,
24
+ "B-EVENT": 1,
25
+ "B-TIME": 2,
26
+ "B-VENUE": 3,
27
+ "I-DATE": 4,
28
+ "I-EVENT": 5,
29
+ "I-TIME": 6,
30
+ "I-VENUE": 7,
31
+ "O": 8
32
+ },
33
+ "max_position_embeddings": 512,
34
+ "model_type": "distilbert",
35
+ "n_heads": 12,
36
+ "n_layers": 6,
37
+ "pad_token_id": 0,
38
+ "qa_dropout": 0.1,
39
+ "seq_classif_dropout": 0.2,
40
+ "sinusoidal_pos_embds": false,
41
+ "tie_weights_": true,
42
+ "torch_dtype": "float32",
43
+ "transformers_version": "4.52.4",
44
+ "vocab_size": 30522
45
+ }
checkpoint-2500/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:67c21db68d29bf0575dd410928f977c39e6b0d4ef0f0034579dbd124dbd2c455
3
+ size 265491548
checkpoint-2500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4ddc7933ad2c38b7f119938cc4f8715c32c598ac6022cd849e8d7718d56a33b7
3
+ size 531043898
checkpoint-2500/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4b199b0e6728f0b16be5bae4d060a20572d00c93413629fa0c8c0998723a0568
3
+ size 14244
checkpoint-2500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:913858a4b29539f0c6fd3cebb9e80b42f5b7c9b04451aff7d898433f43fd28f2
3
+ size 1064
checkpoint-2500/special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "mask_token": "[MASK]",
4
+ "pad_token": "[PAD]",
5
+ "sep_token": "[SEP]",
6
+ "unk_token": "[UNK]"
7
+ }
checkpoint-2500/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-2500/tokenizer_config.json ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[PAD]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "100": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "101": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "102": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "103": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "clean_up_tokenization_spaces": false,
45
+ "cls_token": "[CLS]",
46
+ "do_lower_case": true,
47
+ "extra_special_tokens": {},
48
+ "mask_token": "[MASK]",
49
+ "model_max_length": 512,
50
+ "pad_token": "[PAD]",
51
+ "sep_token": "[SEP]",
52
+ "strip_accents": null,
53
+ "tokenize_chinese_chars": true,
54
+ "tokenizer_class": "DistilBertTokenizer",
55
+ "unk_token": "[UNK]"
56
+ }
checkpoint-2500/trainer_state.json ADDED
@@ -0,0 +1,1784 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 2.1150592216582065,
6
+ "eval_steps": 500,
7
+ "global_step": 2500,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.008460236886632826,
14
+ "grad_norm": 2.4233109951019287,
15
+ "learning_rate": 1.9949238578680207e-05,
16
+ "loss": 1.3216,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.01692047377326565,
21
+ "grad_norm": 1.1721662282943726,
22
+ "learning_rate": 1.9892836999435986e-05,
23
+ "loss": 0.5312,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.025380710659898477,
28
+ "grad_norm": 0.899889349937439,
29
+ "learning_rate": 1.9836435420191765e-05,
30
+ "loss": 0.2969,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.0338409475465313,
35
+ "grad_norm": 0.4674186408519745,
36
+ "learning_rate": 1.9780033840947548e-05,
37
+ "loss": 0.1564,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.04230118443316413,
42
+ "grad_norm": 0.9013752937316895,
43
+ "learning_rate": 1.972363226170333e-05,
44
+ "loss": 0.0966,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.050761421319796954,
49
+ "grad_norm": 0.364164799451828,
50
+ "learning_rate": 1.966723068245911e-05,
51
+ "loss": 0.0516,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.05922165820642978,
56
+ "grad_norm": 0.22717136144638062,
57
+ "learning_rate": 1.9610829103214893e-05,
58
+ "loss": 0.0307,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.0676818950930626,
63
+ "grad_norm": 0.09149003773927689,
64
+ "learning_rate": 1.9554427523970672e-05,
65
+ "loss": 0.0182,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.07614213197969544,
70
+ "grad_norm": 0.12942063808441162,
71
+ "learning_rate": 1.949802594472645e-05,
72
+ "loss": 0.017,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.08460236886632826,
77
+ "grad_norm": 0.27440059185028076,
78
+ "learning_rate": 1.9441624365482234e-05,
79
+ "loss": 0.0113,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.09306260575296109,
84
+ "grad_norm": 0.5005059242248535,
85
+ "learning_rate": 1.9385222786238017e-05,
86
+ "loss": 0.0082,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.10152284263959391,
91
+ "grad_norm": 0.19820384681224823,
92
+ "learning_rate": 1.9328821206993796e-05,
93
+ "loss": 0.0057,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.10998307952622674,
98
+ "grad_norm": 0.03431914001703262,
99
+ "learning_rate": 1.927241962774958e-05,
100
+ "loss": 0.0055,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.11844331641285956,
105
+ "grad_norm": 0.4414117634296417,
106
+ "learning_rate": 1.921601804850536e-05,
107
+ "loss": 0.0063,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.12690355329949238,
112
+ "grad_norm": 0.9055352807044983,
113
+ "learning_rate": 1.915961646926114e-05,
114
+ "loss": 0.0048,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.1353637901861252,
119
+ "grad_norm": 0.036724768579006195,
120
+ "learning_rate": 1.910321489001692e-05,
121
+ "loss": 0.0035,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.14382402707275804,
126
+ "grad_norm": 0.0888664722442627,
127
+ "learning_rate": 1.9046813310772703e-05,
128
+ "loss": 0.0033,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.15228426395939088,
133
+ "grad_norm": 0.019098607823252678,
134
+ "learning_rate": 1.8990411731528486e-05,
135
+ "loss": 0.0029,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.16074450084602368,
140
+ "grad_norm": 0.0171552412211895,
141
+ "learning_rate": 1.8934010152284265e-05,
142
+ "loss": 0.0029,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.1692047377326565,
147
+ "grad_norm": 0.01885647512972355,
148
+ "learning_rate": 1.8877608573040048e-05,
149
+ "loss": 0.0028,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.17766497461928935,
154
+ "grad_norm": 0.01599389687180519,
155
+ "learning_rate": 1.8821206993795827e-05,
156
+ "loss": 0.0022,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.18612521150592218,
161
+ "grad_norm": 0.017242038622498512,
162
+ "learning_rate": 1.876480541455161e-05,
163
+ "loss": 0.0023,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.19458544839255498,
168
+ "grad_norm": 0.5941590666770935,
169
+ "learning_rate": 1.870840383530739e-05,
170
+ "loss": 0.0031,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.20304568527918782,
175
+ "grad_norm": 0.4872148931026459,
176
+ "learning_rate": 1.8652002256063172e-05,
177
+ "loss": 0.0027,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.21150592216582065,
182
+ "grad_norm": 0.014173777773976326,
183
+ "learning_rate": 1.859560067681895e-05,
184
+ "loss": 0.0021,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.21996615905245348,
189
+ "grad_norm": 0.024433018639683723,
190
+ "learning_rate": 1.8539199097574734e-05,
191
+ "loss": 0.0017,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.22842639593908629,
196
+ "grad_norm": 0.017857005819678307,
197
+ "learning_rate": 1.8482797518330516e-05,
198
+ "loss": 0.0017,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.23688663282571912,
203
+ "grad_norm": 0.014704135246574879,
204
+ "learning_rate": 1.8426395939086296e-05,
205
+ "loss": 0.0021,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.24534686971235195,
210
+ "grad_norm": 0.022361995652318,
211
+ "learning_rate": 1.8369994359842075e-05,
212
+ "loss": 0.0016,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.25380710659898476,
217
+ "grad_norm": 0.01112055778503418,
218
+ "learning_rate": 1.8313592780597858e-05,
219
+ "loss": 0.0015,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.2622673434856176,
224
+ "grad_norm": 0.010048450902104378,
225
+ "learning_rate": 1.825719120135364e-05,
226
+ "loss": 0.0015,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.2707275803722504,
231
+ "grad_norm": 0.012935510836541653,
232
+ "learning_rate": 1.820078962210942e-05,
233
+ "loss": 0.0014,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.27918781725888325,
238
+ "grad_norm": 0.010541570372879505,
239
+ "learning_rate": 1.8144388042865203e-05,
240
+ "loss": 0.0013,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.2876480541455161,
245
+ "grad_norm": 0.009258048608899117,
246
+ "learning_rate": 1.8087986463620982e-05,
247
+ "loss": 0.0012,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.2961082910321489,
252
+ "grad_norm": 0.009454768151044846,
253
+ "learning_rate": 1.8031584884376765e-05,
254
+ "loss": 0.0015,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.30456852791878175,
259
+ "grad_norm": 0.018366724252700806,
260
+ "learning_rate": 1.7975183305132544e-05,
261
+ "loss": 0.0012,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.3130287648054145,
266
+ "grad_norm": 0.009252658113837242,
267
+ "learning_rate": 1.7918781725888327e-05,
268
+ "loss": 0.0011,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.32148900169204736,
273
+ "grad_norm": 0.1430797576904297,
274
+ "learning_rate": 1.7862380146644106e-05,
275
+ "loss": 0.0018,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.3299492385786802,
280
+ "grad_norm": 0.009182159788906574,
281
+ "learning_rate": 1.780597856739989e-05,
282
+ "loss": 0.0018,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.338409475465313,
287
+ "grad_norm": 0.00843009352684021,
288
+ "learning_rate": 1.774957698815567e-05,
289
+ "loss": 0.0017,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.34686971235194586,
294
+ "grad_norm": 0.008176930248737335,
295
+ "learning_rate": 1.769317540891145e-05,
296
+ "loss": 0.0013,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.3553299492385787,
301
+ "grad_norm": 0.008539380505681038,
302
+ "learning_rate": 1.7636773829667233e-05,
303
+ "loss": 0.001,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.3637901861252115,
308
+ "grad_norm": 0.008693977259099483,
309
+ "learning_rate": 1.7580372250423013e-05,
310
+ "loss": 0.0014,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.37225042301184436,
315
+ "grad_norm": 0.009141940623521805,
316
+ "learning_rate": 1.7523970671178795e-05,
317
+ "loss": 0.0012,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.38071065989847713,
322
+ "grad_norm": 0.009133282117545605,
323
+ "learning_rate": 1.7467569091934575e-05,
324
+ "loss": 0.0015,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.38917089678510997,
329
+ "grad_norm": 0.5799979567527771,
330
+ "learning_rate": 1.7411167512690357e-05,
331
+ "loss": 0.0013,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.3976311336717428,
336
+ "grad_norm": 0.04120843857526779,
337
+ "learning_rate": 1.7354765933446137e-05,
338
+ "loss": 0.0011,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.40609137055837563,
343
+ "grad_norm": 0.01276948768645525,
344
+ "learning_rate": 1.729836435420192e-05,
345
+ "loss": 0.0012,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.41455160744500846,
350
+ "grad_norm": 0.0076572224497795105,
351
+ "learning_rate": 1.7241962774957702e-05,
352
+ "loss": 0.0014,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.4230118443316413,
357
+ "grad_norm": 0.008293437771499157,
358
+ "learning_rate": 1.718556119571348e-05,
359
+ "loss": 0.0009,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.43147208121827413,
364
+ "grad_norm": 0.0068985214456915855,
365
+ "learning_rate": 1.712915961646926e-05,
366
+ "loss": 0.0009,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.43993231810490696,
371
+ "grad_norm": 0.029666345566511154,
372
+ "learning_rate": 1.7072758037225043e-05,
373
+ "loss": 0.0009,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.44839255499153974,
378
+ "grad_norm": 0.014065027236938477,
379
+ "learning_rate": 1.7016356457980826e-05,
380
+ "loss": 0.0008,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.45685279187817257,
385
+ "grad_norm": 0.00650499714538455,
386
+ "learning_rate": 1.6959954878736606e-05,
387
+ "loss": 0.0008,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.4653130287648054,
392
+ "grad_norm": 0.0065047661773860455,
393
+ "learning_rate": 1.6903553299492388e-05,
394
+ "loss": 0.0008,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.47377326565143824,
399
+ "grad_norm": 0.0071571446023881435,
400
+ "learning_rate": 1.684715172024817e-05,
401
+ "loss": 0.0008,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.48223350253807107,
406
+ "grad_norm": 0.005875805858522654,
407
+ "learning_rate": 1.679075014100395e-05,
408
+ "loss": 0.0008,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.4906937394247039,
413
+ "grad_norm": 0.005848041269928217,
414
+ "learning_rate": 1.673434856175973e-05,
415
+ "loss": 0.0007,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.49915397631133673,
420
+ "grad_norm": 0.006032396107912064,
421
+ "learning_rate": 1.6677946982515512e-05,
422
+ "loss": 0.0007,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.5076142131979695,
427
+ "grad_norm": 0.005858593620359898,
428
+ "learning_rate": 1.662154540327129e-05,
429
+ "loss": 0.0007,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.5160744500846024,
434
+ "grad_norm": 0.006055026315152645,
435
+ "learning_rate": 1.6565143824027074e-05,
436
+ "loss": 0.0007,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.5245346869712352,
441
+ "grad_norm": 0.0055991546250879765,
442
+ "learning_rate": 1.6508742244782857e-05,
443
+ "loss": 0.0039,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.5329949238578681,
448
+ "grad_norm": 0.006043154280632734,
449
+ "learning_rate": 1.6452340665538636e-05,
450
+ "loss": 0.0009,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.5414551607445008,
455
+ "grad_norm": 0.006406570319086313,
456
+ "learning_rate": 1.6395939086294416e-05,
457
+ "loss": 0.0008,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.5499153976311336,
462
+ "grad_norm": 0.006317532621324062,
463
+ "learning_rate": 1.63395375070502e-05,
464
+ "loss": 0.0007,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.5583756345177665,
469
+ "grad_norm": 0.0260737594217062,
470
+ "learning_rate": 1.628313592780598e-05,
471
+ "loss": 0.0007,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.5668358714043993,
476
+ "grad_norm": 0.005516720470041037,
477
+ "learning_rate": 1.622673434856176e-05,
478
+ "loss": 0.0007,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.5752961082910322,
483
+ "grad_norm": 0.005611425265669823,
484
+ "learning_rate": 1.6170332769317543e-05,
485
+ "loss": 0.0006,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.583756345177665,
490
+ "grad_norm": 0.005698953289538622,
491
+ "learning_rate": 1.6113931190073326e-05,
492
+ "loss": 0.0006,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.5922165820642978,
497
+ "grad_norm": 0.005045793950557709,
498
+ "learning_rate": 1.6057529610829105e-05,
499
+ "loss": 0.0006,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.6006768189509306,
504
+ "grad_norm": 0.005404220428317785,
505
+ "learning_rate": 1.6001128031584884e-05,
506
+ "loss": 0.0007,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.6091370558375635,
511
+ "grad_norm": 0.005528539884835482,
512
+ "learning_rate": 1.5944726452340667e-05,
513
+ "loss": 0.0007,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.6175972927241963,
518
+ "grad_norm": 0.0052613625302910805,
519
+ "learning_rate": 1.5888324873096446e-05,
520
+ "loss": 0.0006,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.626057529610829,
525
+ "grad_norm": 0.0050328257493674755,
526
+ "learning_rate": 1.583192329385223e-05,
527
+ "loss": 0.0006,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.6345177664974619,
532
+ "grad_norm": 0.005106599070131779,
533
+ "learning_rate": 1.5775521714608012e-05,
534
+ "loss": 0.0006,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.6429780033840947,
539
+ "grad_norm": 0.004836504813283682,
540
+ "learning_rate": 1.571912013536379e-05,
541
+ "loss": 0.0006,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.6514382402707276,
546
+ "grad_norm": 0.004986999090760946,
547
+ "learning_rate": 1.566271855611957e-05,
548
+ "loss": 0.0006,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.6598984771573604,
553
+ "grad_norm": 0.005235906690359116,
554
+ "learning_rate": 1.5606316976875353e-05,
555
+ "loss": 0.0005,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.6683587140439933,
560
+ "grad_norm": 0.4625732898712158,
561
+ "learning_rate": 1.5549915397631136e-05,
562
+ "loss": 0.0009,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.676818950930626,
567
+ "grad_norm": 0.004936546087265015,
568
+ "learning_rate": 1.5493513818386915e-05,
569
+ "loss": 0.0006,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.6852791878172588,
574
+ "grad_norm": 0.004956043791025877,
575
+ "learning_rate": 1.5437112239142698e-05,
576
+ "loss": 0.0005,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.6937394247038917,
581
+ "grad_norm": 0.005084918346256018,
582
+ "learning_rate": 1.538071065989848e-05,
583
+ "loss": 0.0005,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.7021996615905245,
588
+ "grad_norm": 0.006050592288374901,
589
+ "learning_rate": 1.532430908065426e-05,
590
+ "loss": 0.0005,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.7106598984771574,
595
+ "grad_norm": 0.0045923274010419846,
596
+ "learning_rate": 1.526790750141004e-05,
597
+ "loss": 0.0005,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.7191201353637902,
602
+ "grad_norm": 0.004406214691698551,
603
+ "learning_rate": 1.5211505922165822e-05,
604
+ "loss": 0.0005,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.727580372250423,
609
+ "grad_norm": 0.00449965288862586,
610
+ "learning_rate": 1.5155104342921603e-05,
611
+ "loss": 0.0005,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.7360406091370558,
616
+ "grad_norm": 0.00427517294883728,
617
+ "learning_rate": 1.5098702763677384e-05,
618
+ "loss": 0.0006,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.7445008460236887,
623
+ "grad_norm": 0.006013456266373396,
624
+ "learning_rate": 1.5042301184433165e-05,
625
+ "loss": 0.0005,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.7529610829103215,
630
+ "grad_norm": 0.004456107504665852,
631
+ "learning_rate": 1.4985899605188948e-05,
632
+ "loss": 0.0005,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.7614213197969543,
637
+ "grad_norm": 0.004223175812512636,
638
+ "learning_rate": 1.4929498025944729e-05,
639
+ "loss": 0.0005,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.7698815566835872,
644
+ "grad_norm": 0.004154487047344446,
645
+ "learning_rate": 1.4873096446700508e-05,
646
+ "loss": 0.0005,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.7783417935702199,
651
+ "grad_norm": 0.007055574096739292,
652
+ "learning_rate": 1.4816694867456289e-05,
653
+ "loss": 0.0005,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.7868020304568528,
658
+ "grad_norm": 0.005269153974950314,
659
+ "learning_rate": 1.476029328821207e-05,
660
+ "loss": 0.0005,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.7952622673434856,
665
+ "grad_norm": 0.004041856154799461,
666
+ "learning_rate": 1.4703891708967853e-05,
667
+ "loss": 0.0005,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.8037225042301185,
672
+ "grad_norm": 0.003965588286519051,
673
+ "learning_rate": 1.4647490129723634e-05,
674
+ "loss": 0.0005,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.8121827411167513,
679
+ "grad_norm": 0.005661304574459791,
680
+ "learning_rate": 1.4591088550479415e-05,
681
+ "loss": 0.0005,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.8206429780033841,
686
+ "grad_norm": 0.0039055896922945976,
687
+ "learning_rate": 1.4534686971235198e-05,
688
+ "loss": 0.0011,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.8291032148900169,
693
+ "grad_norm": 1.8310741186141968,
694
+ "learning_rate": 1.4478285391990977e-05,
695
+ "loss": 0.001,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.8375634517766497,
700
+ "grad_norm": 0.005107107572257519,
701
+ "learning_rate": 1.4421883812746758e-05,
702
+ "loss": 0.0008,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.8460236886632826,
707
+ "grad_norm": 0.005387498531490564,
708
+ "learning_rate": 1.4365482233502539e-05,
709
+ "loss": 0.0005,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.8544839255499154,
714
+ "grad_norm": 0.0051966467872262,
715
+ "learning_rate": 1.430908065425832e-05,
716
+ "loss": 0.0005,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.8629441624365483,
721
+ "grad_norm": 0.004603747744113207,
722
+ "learning_rate": 1.4252679075014103e-05,
723
+ "loss": 0.0005,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.871404399323181,
728
+ "grad_norm": 0.0113060986623168,
729
+ "learning_rate": 1.4196277495769884e-05,
730
+ "loss": 0.0005,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.8798646362098139,
735
+ "grad_norm": 0.004159980919212103,
736
+ "learning_rate": 1.4139875916525665e-05,
737
+ "loss": 0.0004,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.8883248730964467,
742
+ "grad_norm": 0.004094019532203674,
743
+ "learning_rate": 1.4083474337281444e-05,
744
+ "loss": 0.0004,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.8967851099830795,
749
+ "grad_norm": 0.00435257563367486,
750
+ "learning_rate": 1.4027072758037225e-05,
751
+ "loss": 0.0004,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.9052453468697124,
756
+ "grad_norm": 0.003843541955575347,
757
+ "learning_rate": 1.3970671178793008e-05,
758
+ "loss": 0.0004,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.9137055837563451,
763
+ "grad_norm": 0.16885782778263092,
764
+ "learning_rate": 1.3914269599548789e-05,
765
+ "loss": 0.0005,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.922165820642978,
770
+ "grad_norm": 0.0037802334409207106,
771
+ "learning_rate": 1.385786802030457e-05,
772
+ "loss": 0.0004,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.9306260575296108,
777
+ "grad_norm": 0.0037738329265266657,
778
+ "learning_rate": 1.3801466441060352e-05,
779
+ "loss": 0.0005,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.9390862944162437,
784
+ "grad_norm": 0.012493060901761055,
785
+ "learning_rate": 1.374506486181613e-05,
786
+ "loss": 0.0004,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.9475465313028765,
791
+ "grad_norm": 0.0037303464487195015,
792
+ "learning_rate": 1.3688663282571913e-05,
793
+ "loss": 0.0004,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.9560067681895094,
798
+ "grad_norm": 0.0035704418551176786,
799
+ "learning_rate": 1.3632261703327694e-05,
800
+ "loss": 0.0007,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.9644670050761421,
805
+ "grad_norm": 0.0038276014383882284,
806
+ "learning_rate": 1.3575860124083475e-05,
807
+ "loss": 0.0004,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.9729272419627749,
812
+ "grad_norm": 0.004172508604824543,
813
+ "learning_rate": 1.3519458544839257e-05,
814
+ "loss": 0.0004,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.9813874788494078,
819
+ "grad_norm": 0.20282192528247833,
820
+ "learning_rate": 1.3463056965595038e-05,
821
+ "loss": 0.0004,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.9898477157360406,
826
+ "grad_norm": 0.0035703997127711773,
827
+ "learning_rate": 1.340665538635082e-05,
828
+ "loss": 0.0004,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.9983079526226735,
833
+ "grad_norm": 0.003505186177790165,
834
+ "learning_rate": 1.3350253807106599e-05,
835
+ "loss": 0.0004,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 1.0067681895093064,
840
+ "grad_norm": 0.003632462117820978,
841
+ "learning_rate": 1.329385222786238e-05,
842
+ "loss": 0.0004,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 1.015228426395939,
847
+ "grad_norm": 0.0034904363565146923,
848
+ "learning_rate": 1.3237450648618163e-05,
849
+ "loss": 0.0004,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 1.023688663282572,
854
+ "grad_norm": 0.003400213085114956,
855
+ "learning_rate": 1.3181049069373944e-05,
856
+ "loss": 0.0004,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 1.0321489001692048,
861
+ "grad_norm": 0.02098667249083519,
862
+ "learning_rate": 1.3124647490129725e-05,
863
+ "loss": 0.0004,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 1.0406091370558375,
868
+ "grad_norm": 0.0033113211393356323,
869
+ "learning_rate": 1.3068245910885506e-05,
870
+ "loss": 0.0004,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 1.0490693739424704,
875
+ "grad_norm": 0.0075438846834003925,
876
+ "learning_rate": 1.3011844331641288e-05,
877
+ "loss": 0.001,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 1.0575296108291032,
882
+ "grad_norm": 0.003400578862056136,
883
+ "learning_rate": 1.2955442752397068e-05,
884
+ "loss": 0.0006,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 1.0659898477157361,
889
+ "grad_norm": 0.003571244655176997,
890
+ "learning_rate": 1.2899041173152849e-05,
891
+ "loss": 0.0004,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 1.0744500846023688,
896
+ "grad_norm": 0.0032794324215501547,
897
+ "learning_rate": 1.284263959390863e-05,
898
+ "loss": 0.0004,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 1.0829103214890017,
903
+ "grad_norm": 0.0032312178518623114,
904
+ "learning_rate": 1.2786238014664412e-05,
905
+ "loss": 0.0011,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 1.0913705583756346,
910
+ "grad_norm": 0.003224333981052041,
911
+ "learning_rate": 1.2729836435420193e-05,
912
+ "loss": 0.0003,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 1.0998307952622675,
917
+ "grad_norm": 0.0033167279325425625,
918
+ "learning_rate": 1.2673434856175974e-05,
919
+ "loss": 0.0004,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 1.1082910321489001,
924
+ "grad_norm": 0.003647689940407872,
925
+ "learning_rate": 1.2617033276931755e-05,
926
+ "loss": 0.0009,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 1.116751269035533,
931
+ "grad_norm": 0.005791259463876486,
932
+ "learning_rate": 1.2560631697687535e-05,
933
+ "loss": 0.0004,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 1.125211505922166,
938
+ "grad_norm": 0.0036105727776885033,
939
+ "learning_rate": 1.2504230118443317e-05,
940
+ "loss": 0.0005,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 1.1336717428087986,
945
+ "grad_norm": 0.0033262548968195915,
946
+ "learning_rate": 1.2447828539199098e-05,
947
+ "loss": 0.0003,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 1.1421319796954315,
952
+ "grad_norm": 0.003255200106650591,
953
+ "learning_rate": 1.239142695995488e-05,
954
+ "loss": 0.0003,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 1.1505922165820643,
959
+ "grad_norm": 0.0031492102425545454,
960
+ "learning_rate": 1.233502538071066e-05,
961
+ "loss": 0.0003,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 1.1590524534686972,
966
+ "grad_norm": 0.0031071833800524473,
967
+ "learning_rate": 1.2278623801466443e-05,
968
+ "loss": 0.0006,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 1.16751269035533,
973
+ "grad_norm": 0.003029242157936096,
974
+ "learning_rate": 1.2222222222222224e-05,
975
+ "loss": 0.0004,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 1.1759729272419628,
980
+ "grad_norm": 0.003054770641028881,
981
+ "learning_rate": 1.2165820642978003e-05,
982
+ "loss": 0.0004,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 1.1844331641285957,
987
+ "grad_norm": 0.002985539613291621,
988
+ "learning_rate": 1.2109419063733784e-05,
989
+ "loss": 0.0003,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 1.1928934010152283,
994
+ "grad_norm": 0.0029861750081181526,
995
+ "learning_rate": 1.2053017484489567e-05,
996
+ "loss": 0.0003,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 1.2013536379018612,
1001
+ "grad_norm": 0.0031786304898560047,
1002
+ "learning_rate": 1.1996615905245348e-05,
1003
+ "loss": 0.0003,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 1.2098138747884941,
1008
+ "grad_norm": 0.0029660591389983892,
1009
+ "learning_rate": 1.194021432600113e-05,
1010
+ "loss": 0.0003,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 1.218274111675127,
1015
+ "grad_norm": 0.0029080845415592194,
1016
+ "learning_rate": 1.188381274675691e-05,
1017
+ "loss": 0.0003,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 1.2267343485617597,
1022
+ "grad_norm": 0.003032978158444166,
1023
+ "learning_rate": 1.1827411167512693e-05,
1024
+ "loss": 0.0003,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 1.2351945854483926,
1029
+ "grad_norm": 0.0028783201705664396,
1030
+ "learning_rate": 1.1771009588268472e-05,
1031
+ "loss": 0.0003,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 1.2436548223350254,
1036
+ "grad_norm": 0.002919497899711132,
1037
+ "learning_rate": 1.1714608009024253e-05,
1038
+ "loss": 0.0003,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 1.252115059221658,
1043
+ "grad_norm": 0.002829916076734662,
1044
+ "learning_rate": 1.1658206429780034e-05,
1045
+ "loss": 0.0003,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 1.260575296108291,
1050
+ "grad_norm": 0.0028766861651092768,
1051
+ "learning_rate": 1.1601804850535815e-05,
1052
+ "loss": 0.0003,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 1.2690355329949239,
1057
+ "grad_norm": 0.0027290356811136007,
1058
+ "learning_rate": 1.1545403271291598e-05,
1059
+ "loss": 0.0003,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 1.2774957698815568,
1064
+ "grad_norm": 0.0027461503632366657,
1065
+ "learning_rate": 1.1489001692047379e-05,
1066
+ "loss": 0.0003,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 1.2859560067681894,
1071
+ "grad_norm": 0.0027623216155916452,
1072
+ "learning_rate": 1.143260011280316e-05,
1073
+ "loss": 0.0003,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 1.2944162436548223,
1078
+ "grad_norm": 0.0028906099032610655,
1079
+ "learning_rate": 1.137619853355894e-05,
1080
+ "loss": 0.0003,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 1.3028764805414552,
1085
+ "grad_norm": 0.0027789094019681215,
1086
+ "learning_rate": 1.1319796954314722e-05,
1087
+ "loss": 0.0003,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 1.3113367174280879,
1092
+ "grad_norm": 0.00271011283621192,
1093
+ "learning_rate": 1.1263395375070503e-05,
1094
+ "loss": 0.0003,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 1.3197969543147208,
1099
+ "grad_norm": 0.002672335831448436,
1100
+ "learning_rate": 1.1206993795826284e-05,
1101
+ "loss": 0.0003,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 1.3282571912013537,
1106
+ "grad_norm": 0.002650258131325245,
1107
+ "learning_rate": 1.1150592216582065e-05,
1108
+ "loss": 0.0003,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 1.3367174280879865,
1113
+ "grad_norm": 0.002780508017167449,
1114
+ "learning_rate": 1.1094190637337848e-05,
1115
+ "loss": 0.0003,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 1.3451776649746192,
1120
+ "grad_norm": 0.0026137123350054026,
1121
+ "learning_rate": 1.1037789058093627e-05,
1122
+ "loss": 0.0003,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 1.353637901861252,
1127
+ "grad_norm": 0.0026269517838954926,
1128
+ "learning_rate": 1.0981387478849408e-05,
1129
+ "loss": 0.0003,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 1.362098138747885,
1134
+ "grad_norm": 0.0025848057121038437,
1135
+ "learning_rate": 1.092498589960519e-05,
1136
+ "loss": 0.0003,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 1.3705583756345177,
1141
+ "grad_norm": 0.0025470599066466093,
1142
+ "learning_rate": 1.086858432036097e-05,
1143
+ "loss": 0.0003,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 1.3790186125211505,
1148
+ "grad_norm": 0.0027439745608717203,
1149
+ "learning_rate": 1.0812182741116753e-05,
1150
+ "loss": 0.0003,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 1.3874788494077834,
1155
+ "grad_norm": 0.002537579508498311,
1156
+ "learning_rate": 1.0755781161872534e-05,
1157
+ "loss": 0.0003,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 1.3959390862944163,
1162
+ "grad_norm": 0.0025688863825052977,
1163
+ "learning_rate": 1.0699379582628315e-05,
1164
+ "loss": 0.0003,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 1.404399323181049,
1169
+ "grad_norm": 0.0026179850101470947,
1170
+ "learning_rate": 1.0642978003384094e-05,
1171
+ "loss": 0.0003,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 1.4128595600676819,
1176
+ "grad_norm": 0.002496235305443406,
1177
+ "learning_rate": 1.0586576424139875e-05,
1178
+ "loss": 0.0003,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 1.4213197969543148,
1183
+ "grad_norm": 0.0026708145160228014,
1184
+ "learning_rate": 1.0530174844895658e-05,
1185
+ "loss": 0.0003,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 1.4297800338409474,
1190
+ "grad_norm": 0.0025831579696387053,
1191
+ "learning_rate": 1.0473773265651439e-05,
1192
+ "loss": 0.0003,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 1.4382402707275803,
1197
+ "grad_norm": 0.0024914774112403393,
1198
+ "learning_rate": 1.041737168640722e-05,
1199
+ "loss": 0.0003,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 1.4467005076142132,
1204
+ "grad_norm": 0.002529192017391324,
1205
+ "learning_rate": 1.0360970107163003e-05,
1206
+ "loss": 0.0003,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 1.455160744500846,
1211
+ "grad_norm": 0.0024393699131906033,
1212
+ "learning_rate": 1.0304568527918784e-05,
1213
+ "loss": 0.0011,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 1.463620981387479,
1218
+ "grad_norm": 0.0043233660981059074,
1219
+ "learning_rate": 1.0248166948674563e-05,
1220
+ "loss": 0.0004,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 1.4720812182741116,
1225
+ "grad_norm": 0.002547438722103834,
1226
+ "learning_rate": 1.0191765369430344e-05,
1227
+ "loss": 0.0005,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 1.4805414551607445,
1232
+ "grad_norm": 0.0025178396608680487,
1233
+ "learning_rate": 1.0135363790186125e-05,
1234
+ "loss": 0.0003,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 1.4890016920473772,
1239
+ "grad_norm": 0.003602534532546997,
1240
+ "learning_rate": 1.0078962210941908e-05,
1241
+ "loss": 0.0003,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 1.49746192893401,
1246
+ "grad_norm": 0.002990358741953969,
1247
+ "learning_rate": 1.0022560631697689e-05,
1248
+ "loss": 0.0003,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 1.505922165820643,
1253
+ "grad_norm": 0.0024538026191294193,
1254
+ "learning_rate": 9.96615905245347e-06,
1255
+ "loss": 0.0003,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 1.5143824027072759,
1260
+ "grad_norm": 0.0024382509291172028,
1261
+ "learning_rate": 9.90975747320925e-06,
1262
+ "loss": 0.0003,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 1.5228426395939088,
1267
+ "grad_norm": 0.0026386724784970284,
1268
+ "learning_rate": 9.853355893965032e-06,
1269
+ "loss": 0.0003,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 1.5313028764805414,
1274
+ "grad_norm": 0.0023787450045347214,
1275
+ "learning_rate": 9.796954314720813e-06,
1276
+ "loss": 0.0003,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 1.5397631133671743,
1281
+ "grad_norm": 0.002435258822515607,
1282
+ "learning_rate": 9.740552735476594e-06,
1283
+ "loss": 0.0003,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 1.548223350253807,
1288
+ "grad_norm": 0.32252246141433716,
1289
+ "learning_rate": 9.684151156232375e-06,
1290
+ "loss": 0.0003,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 1.5566835871404399,
1295
+ "grad_norm": 0.0023758108727633953,
1296
+ "learning_rate": 9.627749576988158e-06,
1297
+ "loss": 0.0003,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 1.5651438240270727,
1302
+ "grad_norm": 0.0023211485240608454,
1303
+ "learning_rate": 9.571347997743937e-06,
1304
+ "loss": 0.0003,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 1.5736040609137056,
1309
+ "grad_norm": 0.002314375713467598,
1310
+ "learning_rate": 9.514946418499718e-06,
1311
+ "loss": 0.0003,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 1.5820642978003385,
1316
+ "grad_norm": 0.0023043151013553143,
1317
+ "learning_rate": 9.4585448392555e-06,
1318
+ "loss": 0.0003,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 1.5905245346869712,
1323
+ "grad_norm": 0.0022787386551499367,
1324
+ "learning_rate": 9.402143260011282e-06,
1325
+ "loss": 0.0002,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 1.598984771573604,
1330
+ "grad_norm": 0.0022805132903158665,
1331
+ "learning_rate": 9.345741680767063e-06,
1332
+ "loss": 0.0003,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 1.6074450084602367,
1337
+ "grad_norm": 0.0022434191778302193,
1338
+ "learning_rate": 9.289340101522844e-06,
1339
+ "loss": 0.0003,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 1.6159052453468696,
1344
+ "grad_norm": 0.0022070412524044514,
1345
+ "learning_rate": 9.232938522278625e-06,
1346
+ "loss": 0.0002,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 1.6243654822335025,
1351
+ "grad_norm": 0.002298792591318488,
1352
+ "learning_rate": 9.176536943034406e-06,
1353
+ "loss": 0.0002,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 1.6328257191201354,
1358
+ "grad_norm": 0.002347590634599328,
1359
+ "learning_rate": 9.120135363790187e-06,
1360
+ "loss": 0.0002,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 1.6412859560067683,
1365
+ "grad_norm": 0.0022417185828089714,
1366
+ "learning_rate": 9.063733784545968e-06,
1367
+ "loss": 0.0002,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 1.649746192893401,
1372
+ "grad_norm": 0.002178118098527193,
1373
+ "learning_rate": 9.007332205301749e-06,
1374
+ "loss": 0.0002,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 1.6582064297800339,
1379
+ "grad_norm": 0.002204876858741045,
1380
+ "learning_rate": 8.95093062605753e-06,
1381
+ "loss": 0.0002,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 1.6666666666666665,
1386
+ "grad_norm": 0.0021794794593006372,
1387
+ "learning_rate": 8.894529046813312e-06,
1388
+ "loss": 0.0002,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 1.6751269035532994,
1393
+ "grad_norm": 0.002448797458782792,
1394
+ "learning_rate": 8.838127467569093e-06,
1395
+ "loss": 0.0002,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 1.6835871404399323,
1400
+ "grad_norm": 0.00216574571095407,
1401
+ "learning_rate": 8.781725888324873e-06,
1402
+ "loss": 0.0002,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 1.6920473773265652,
1407
+ "grad_norm": 0.0022357029374688864,
1408
+ "learning_rate": 8.725324309080655e-06,
1409
+ "loss": 0.0002,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 1.700507614213198,
1414
+ "grad_norm": 0.0021086037158966064,
1415
+ "learning_rate": 8.668922729836436e-06,
1416
+ "loss": 0.0002,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 1.708967851099831,
1421
+ "grad_norm": 0.002162441611289978,
1422
+ "learning_rate": 8.612521150592217e-06,
1423
+ "loss": 0.0002,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 1.7174280879864636,
1428
+ "grad_norm": 0.0021641228813678026,
1429
+ "learning_rate": 8.556119571347998e-06,
1430
+ "loss": 0.0011,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 1.7258883248730963,
1435
+ "grad_norm": 0.0021566457580775023,
1436
+ "learning_rate": 8.49971799210378e-06,
1437
+ "loss": 0.0002,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 1.7343485617597292,
1442
+ "grad_norm": 0.0021678991615772247,
1443
+ "learning_rate": 8.44331641285956e-06,
1444
+ "loss": 0.0002,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 1.742808798646362,
1449
+ "grad_norm": 0.002119549084454775,
1450
+ "learning_rate": 8.386914833615342e-06,
1451
+ "loss": 0.0002,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 1.751269035532995,
1456
+ "grad_norm": 0.002093096962198615,
1457
+ "learning_rate": 8.330513254371123e-06,
1458
+ "loss": 0.0002,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 1.7597292724196278,
1463
+ "grad_norm": 0.002090982161462307,
1464
+ "learning_rate": 8.274111675126905e-06,
1465
+ "loss": 0.0002,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 1.7681895093062607,
1470
+ "grad_norm": 0.004076903220266104,
1471
+ "learning_rate": 8.217710095882685e-06,
1472
+ "loss": 0.0002,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 1.7766497461928934,
1477
+ "grad_norm": 0.0020308117382228374,
1478
+ "learning_rate": 8.161308516638467e-06,
1479
+ "loss": 0.0002,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 1.785109983079526,
1484
+ "grad_norm": 0.0021146961953490973,
1485
+ "learning_rate": 8.104906937394248e-06,
1486
+ "loss": 0.0002,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 1.793570219966159,
1491
+ "grad_norm": 0.0020670590456575155,
1492
+ "learning_rate": 8.048505358150028e-06,
1493
+ "loss": 0.0002,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 1.8020304568527918,
1498
+ "grad_norm": 0.0024381864350289106,
1499
+ "learning_rate": 7.99210377890581e-06,
1500
+ "loss": 0.0002,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 1.8104906937394247,
1505
+ "grad_norm": 0.002149208215996623,
1506
+ "learning_rate": 7.935702199661591e-06,
1507
+ "loss": 0.0008,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 1.8189509306260576,
1512
+ "grad_norm": 0.004185215570032597,
1513
+ "learning_rate": 7.879300620417372e-06,
1514
+ "loss": 0.0002,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 1.8274111675126905,
1519
+ "grad_norm": 0.002098744735121727,
1520
+ "learning_rate": 7.822899041173153e-06,
1521
+ "loss": 0.0002,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 1.8358714043993232,
1526
+ "grad_norm": 0.0019923567306250334,
1527
+ "learning_rate": 7.766497461928934e-06,
1528
+ "loss": 0.0004,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 1.844331641285956,
1533
+ "grad_norm": 0.002045057248324156,
1534
+ "learning_rate": 7.710095882684715e-06,
1535
+ "loss": 0.0002,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 1.8527918781725887,
1540
+ "grad_norm": 0.002222336595878005,
1541
+ "learning_rate": 7.653694303440496e-06,
1542
+ "loss": 0.0002,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 1.8612521150592216,
1547
+ "grad_norm": 0.0021004409063607454,
1548
+ "learning_rate": 7.597292724196278e-06,
1549
+ "loss": 0.0002,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 1.8697123519458545,
1554
+ "grad_norm": 0.001979230437427759,
1555
+ "learning_rate": 7.540891144952059e-06,
1556
+ "loss": 0.0002,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 1.8781725888324874,
1561
+ "grad_norm": 0.0020105023868381977,
1562
+ "learning_rate": 7.484489565707841e-06,
1563
+ "loss": 0.0002,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 1.8866328257191203,
1568
+ "grad_norm": 0.0020976634696125984,
1569
+ "learning_rate": 7.428087986463621e-06,
1570
+ "loss": 0.0002,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 1.895093062605753,
1575
+ "grad_norm": 0.0020316061563789845,
1576
+ "learning_rate": 7.371686407219403e-06,
1577
+ "loss": 0.0002,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 1.9035532994923858,
1582
+ "grad_norm": 0.00200808048248291,
1583
+ "learning_rate": 7.315284827975184e-06,
1584
+ "loss": 0.0002,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 1.9120135363790185,
1589
+ "grad_norm": 0.002250692341476679,
1590
+ "learning_rate": 7.258883248730964e-06,
1591
+ "loss": 0.0002,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 1.9204737732656514,
1596
+ "grad_norm": 0.0022177433129400015,
1597
+ "learning_rate": 7.202481669486746e-06,
1598
+ "loss": 0.0007,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 1.9289340101522843,
1603
+ "grad_norm": 0.0018741836538538337,
1604
+ "learning_rate": 7.146080090242527e-06,
1605
+ "loss": 0.0002,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 1.9373942470389172,
1610
+ "grad_norm": 0.002023757202550769,
1611
+ "learning_rate": 7.089678510998309e-06,
1612
+ "loss": 0.0002,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 1.94585448392555,
1617
+ "grad_norm": 0.0021521553862839937,
1618
+ "learning_rate": 7.033276931754089e-06,
1619
+ "loss": 0.0002,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 1.9543147208121827,
1624
+ "grad_norm": 0.0019342171726748347,
1625
+ "learning_rate": 6.976875352509871e-06,
1626
+ "loss": 0.0008,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 1.9627749576988156,
1631
+ "grad_norm": 0.0019481374183669686,
1632
+ "learning_rate": 6.920473773265652e-06,
1633
+ "loss": 0.0007,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 1.9712351945854483,
1638
+ "grad_norm": 0.002077361335977912,
1639
+ "learning_rate": 6.864072194021433e-06,
1640
+ "loss": 0.0011,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 1.9796954314720812,
1645
+ "grad_norm": 0.0020031894091516733,
1646
+ "learning_rate": 6.807670614777214e-06,
1647
+ "loss": 0.0003,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 1.988155668358714,
1652
+ "grad_norm": 0.00219974503852427,
1653
+ "learning_rate": 6.751269035532996e-06,
1654
+ "loss": 0.0002,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 1.996615905245347,
1659
+ "grad_norm": 0.002148480387404561,
1660
+ "learning_rate": 6.694867456288776e-06,
1661
+ "loss": 0.0002,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 2.00507614213198,
1666
+ "grad_norm": 0.0018948954530060291,
1667
+ "learning_rate": 6.638465877044558e-06,
1668
+ "loss": 0.0002,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 2.0135363790186127,
1673
+ "grad_norm": 0.007534192409366369,
1674
+ "learning_rate": 6.582064297800339e-06,
1675
+ "loss": 0.0002,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 2.021996615905245,
1680
+ "grad_norm": 0.0018520756857469678,
1681
+ "learning_rate": 6.525662718556121e-06,
1682
+ "loss": 0.0002,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 2.030456852791878,
1687
+ "grad_norm": 0.0020236349664628506,
1688
+ "learning_rate": 6.469261139311901e-06,
1689
+ "loss": 0.0002,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 2.038917089678511,
1694
+ "grad_norm": 0.0018428469775244594,
1695
+ "learning_rate": 6.412859560067682e-06,
1696
+ "loss": 0.0002,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 2.047377326565144,
1701
+ "grad_norm": 0.0018592760898172855,
1702
+ "learning_rate": 6.356457980823464e-06,
1703
+ "loss": 0.0002,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 2.0558375634517767,
1708
+ "grad_norm": 0.001955309882760048,
1709
+ "learning_rate": 6.300056401579244e-06,
1710
+ "loss": 0.0002,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 2.0642978003384096,
1715
+ "grad_norm": 0.001861874246969819,
1716
+ "learning_rate": 6.243654822335026e-06,
1717
+ "loss": 0.0002,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 2.0727580372250425,
1722
+ "grad_norm": 0.0018448787741363049,
1723
+ "learning_rate": 6.187253243090807e-06,
1724
+ "loss": 0.0002,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 2.081218274111675,
1729
+ "grad_norm": 0.0018381918780505657,
1730
+ "learning_rate": 6.130851663846589e-06,
1731
+ "loss": 0.0002,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 2.089678510998308,
1736
+ "grad_norm": 0.0018074287800118327,
1737
+ "learning_rate": 6.074450084602369e-06,
1738
+ "loss": 0.0002,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 2.0981387478849407,
1743
+ "grad_norm": 0.0018625473603606224,
1744
+ "learning_rate": 6.018048505358151e-06,
1745
+ "loss": 0.0002,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 2.1065989847715736,
1750
+ "grad_norm": 0.0017794481245800853,
1751
+ "learning_rate": 5.961646926113932e-06,
1752
+ "loss": 0.0002,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 2.1150592216582065,
1757
+ "grad_norm": 0.0017721441108733416,
1758
+ "learning_rate": 5.905245346869712e-06,
1759
+ "loss": 0.0002,
1760
+ "step": 2500
1761
+ }
1762
+ ],
1763
+ "logging_steps": 10,
1764
+ "max_steps": 3546,
1765
+ "num_input_tokens_seen": 0,
1766
+ "num_train_epochs": 3,
1767
+ "save_steps": 500,
1768
+ "stateful_callbacks": {
1769
+ "TrainerControl": {
1770
+ "args": {
1771
+ "should_epoch_stop": false,
1772
+ "should_evaluate": false,
1773
+ "should_log": false,
1774
+ "should_save": true,
1775
+ "should_training_stop": false
1776
+ },
1777
+ "attributes": {}
1778
+ }
1779
+ },
1780
+ "total_flos": 746156802869100.0,
1781
+ "train_batch_size": 8,
1782
+ "trial_name": null,
1783
+ "trial_params": null
1784
+ }
checkpoint-2500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4ff70b5fe38fa5c6975f0b6b12e0e6d5bcdf328c6f1785991115883fcf7fcf78
3
+ size 5240
checkpoint-2500/vocab.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-3000/config.json ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "activation": "gelu",
3
+ "architectures": [
4
+ "DistilBertForTokenClassification"
5
+ ],
6
+ "attention_dropout": 0.1,
7
+ "dim": 768,
8
+ "dropout": 0.1,
9
+ "hidden_dim": 3072,
10
+ "id2label": {
11
+ "0": "B-DATE",
12
+ "1": "B-EVENT",
13
+ "2": "B-TIME",
14
+ "3": "B-VENUE",
15
+ "4": "I-DATE",
16
+ "5": "I-EVENT",
17
+ "6": "I-TIME",
18
+ "7": "I-VENUE",
19
+ "8": "O"
20
+ },
21
+ "initializer_range": 0.02,
22
+ "label2id": {
23
+ "B-DATE": 0,
24
+ "B-EVENT": 1,
25
+ "B-TIME": 2,
26
+ "B-VENUE": 3,
27
+ "I-DATE": 4,
28
+ "I-EVENT": 5,
29
+ "I-TIME": 6,
30
+ "I-VENUE": 7,
31
+ "O": 8
32
+ },
33
+ "max_position_embeddings": 512,
34
+ "model_type": "distilbert",
35
+ "n_heads": 12,
36
+ "n_layers": 6,
37
+ "pad_token_id": 0,
38
+ "qa_dropout": 0.1,
39
+ "seq_classif_dropout": 0.2,
40
+ "sinusoidal_pos_embds": false,
41
+ "tie_weights_": true,
42
+ "torch_dtype": "float32",
43
+ "transformers_version": "4.52.4",
44
+ "vocab_size": 30522
45
+ }
checkpoint-3000/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:17b7e57e134aa35ded443d85782bb7c6a2389c3debc4510eae415cf9a6c2a251
3
+ size 265491548
checkpoint-3000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ea9d924790000df0596ebb81af5fd4831fa8b97f7b5815e2ffd2d81f8e1f1e49
3
+ size 531043898
checkpoint-3000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4eb292a11acac1ca8ae4b9dd1e5a8575b1510a298bc31ce7972e4fdb7b6d1338
3
+ size 14244
checkpoint-3000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:074d248aae457e828a51664ac8fb778cff68e6f9544117da106daa378010b3a8
3
+ size 1064
checkpoint-3000/special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "mask_token": "[MASK]",
4
+ "pad_token": "[PAD]",
5
+ "sep_token": "[SEP]",
6
+ "unk_token": "[UNK]"
7
+ }