Willowclem commited on
Commit
81b1f5e
·
verified ·
1 Parent(s): 7830d19

checkpoint complet pour reprise

Browse files
README.md CHANGED
@@ -1,6 +1,6 @@
1
  ---
2
- library_name: transformers
3
- tags: []
4
  ---
5
 
6
  # Model Card for Model ID
@@ -15,7 +15,7 @@ tags: []
15
 
16
  <!-- Provide a longer summary of what this model is. -->
17
 
18
- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
19
 
20
  - **Developed by:** [More Information Needed]
21
  - **Funded by [optional]:** [More Information Needed]
@@ -196,4 +196,7 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
196
 
197
  ## Model Card Contact
198
 
199
- [More Information Needed]
 
 
 
 
1
  ---
2
+ base_model: bigcode/starcoder2-3b
3
+ library_name: peft
4
  ---
5
 
6
  # Model Card for Model ID
 
15
 
16
  <!-- Provide a longer summary of what this model is. -->
17
 
18
+
19
 
20
  - **Developed by:** [More Information Needed]
21
  - **Funded by [optional]:** [More Information Needed]
 
196
 
197
  ## Model Card Contact
198
 
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.15.2.dev0
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:62d98fced66893a45d7597d49f4322cda310a78a7735ae21ed124d4e72803c00
3
  size 9108904
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:413a08deebf4e812ed618feb14fbfe733c5ce057b52e5260f96ea3891bd56b98
3
  size 9108904
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d9f0a7d1acaa98aeb547939370adb4d896c01574d3d28cea9793d450e1cb685a
3
+ size 18287162
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f0aea8647889124ee4410e74259fe50f751a4293dafbe5185aaad93116f6302c
3
+ size 14244
scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:560be37b277bd2de8581423e274bcf8c297aff0365347850cf117c584313ecc5
3
+ size 988
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1cd3b1b72ac615cf687f95c9e15f87bd75929e8c051c314407f19bddbe344f2f
3
+ size 1064
special_tokens_map.json CHANGED
@@ -53,7 +53,6 @@
53
  "rstrip": false,
54
  "single_word": false
55
  },
56
- "pad_token": "<|endoftext|>",
57
  "unk_token": {
58
  "content": "<|endoftext|>",
59
  "lstrip": false,
 
53
  "rstrip": false,
54
  "single_word": false
55
  },
 
56
  "unk_token": {
57
  "content": "<|endoftext|>",
58
  "lstrip": false,
tokenizer.json CHANGED
@@ -1,11 +1,6 @@
1
  {
2
  "version": "1.0",
3
- "truncation": {
4
- "direction": "Right",
5
- "max_length": 1024,
6
- "strategy": "LongestFirst",
7
- "stride": 0
8
- },
9
  "padding": null,
10
  "added_tokens": [
11
  {
 
1
  {
2
  "version": "1.0",
3
+ "truncation": null,
 
 
 
 
 
4
  "padding": null,
5
  "added_tokens": [
6
  {
tokenizer_config.json CHANGED
@@ -351,7 +351,6 @@
351
  "eos_token": "<|endoftext|>",
352
  "extra_special_tokens": {},
353
  "model_max_length": 1000000000000000019884624838656,
354
- "pad_token": "<|endoftext|>",
355
  "tokenizer_class": "GPT2Tokenizer",
356
  "unk_token": "<|endoftext|>",
357
  "vocab_size": 49152
 
351
  "eos_token": "<|endoftext|>",
352
  "extra_special_tokens": {},
353
  "model_max_length": 1000000000000000019884624838656,
 
354
  "tokenizer_class": "GPT2Tokenizer",
355
  "unk_token": "<|endoftext|>",
356
  "vocab_size": 49152
trainer_state.json ADDED
@@ -0,0 +1,1393 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 2.149157404087487,
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": 0.0014342058085335247,
14
+ "grad_norm": 0.470686674118042,
15
+ "learning_rate": 0.0001,
16
+ "loss": 2.2273,
17
+ "mean_token_accuracy": 0.570575475692749,
18
+ "num_tokens": 2667.0,
19
+ "step": 1
20
+ },
21
+ {
22
+ "epoch": 0.014342058085335245,
23
+ "grad_norm": 0.6386922001838684,
24
+ "learning_rate": 9.961740793878528e-05,
25
+ "loss": 3.3587,
26
+ "mean_token_accuracy": 0.4295877367258072,
27
+ "num_tokens": 18898.0,
28
+ "step": 10
29
+ },
30
+ {
31
+ "epoch": 0.02868411617067049,
32
+ "grad_norm": 1.405023217201233,
33
+ "learning_rate": 9.913916786226685e-05,
34
+ "loss": 3.3664,
35
+ "mean_token_accuracy": 0.43326892629265784,
36
+ "num_tokens": 33358.0,
37
+ "step": 20
38
+ },
39
+ {
40
+ "epoch": 0.04302617425600574,
41
+ "grad_norm": 1.0480499267578125,
42
+ "learning_rate": 9.870875179340028e-05,
43
+ "loss": 3.4708,
44
+ "mean_token_accuracy": 0.3982369378209114,
45
+ "num_tokens": 46959.0,
46
+ "step": 30
47
+ },
48
+ {
49
+ "epoch": 0.05736823234134098,
50
+ "grad_norm": 1.2611873149871826,
51
+ "learning_rate": 9.823051171688188e-05,
52
+ "loss": 2.7339,
53
+ "mean_token_accuracy": 0.4746448712423444,
54
+ "num_tokens": 60421.0,
55
+ "step": 40
56
+ },
57
+ {
58
+ "epoch": 0.07171029042667623,
59
+ "grad_norm": 1.2783650159835815,
60
+ "learning_rate": 9.775227164036346e-05,
61
+ "loss": 2.941,
62
+ "mean_token_accuracy": 0.45884586926549675,
63
+ "num_tokens": 76960.0,
64
+ "step": 50
65
+ },
66
+ {
67
+ "epoch": 0.08605234851201148,
68
+ "grad_norm": 10.735796928405762,
69
+ "learning_rate": 9.73218555714969e-05,
70
+ "loss": 2.7924,
71
+ "mean_token_accuracy": 0.4820432551205158,
72
+ "num_tokens": 92542.0,
73
+ "step": 60
74
+ },
75
+ {
76
+ "epoch": 0.10039440659734672,
77
+ "grad_norm": 1.3800513744354248,
78
+ "learning_rate": 9.684361549497848e-05,
79
+ "loss": 2.481,
80
+ "mean_token_accuracy": 0.51774717643857,
81
+ "num_tokens": 107955.0,
82
+ "step": 70
83
+ },
84
+ {
85
+ "epoch": 0.11473646468268196,
86
+ "grad_norm": 2.344276189804077,
87
+ "learning_rate": 9.636537541846008e-05,
88
+ "loss": 2.613,
89
+ "mean_token_accuracy": 0.49135800525546075,
90
+ "num_tokens": 124083.0,
91
+ "step": 80
92
+ },
93
+ {
94
+ "epoch": 0.1290785227680172,
95
+ "grad_norm": 6.935220241546631,
96
+ "learning_rate": 9.588713534194166e-05,
97
+ "loss": 2.6713,
98
+ "mean_token_accuracy": 0.49849507249891756,
99
+ "num_tokens": 136850.0,
100
+ "step": 90
101
+ },
102
+ {
103
+ "epoch": 0.14342058085335246,
104
+ "grad_norm": 2.38398814201355,
105
+ "learning_rate": 9.540889526542324e-05,
106
+ "loss": 2.3803,
107
+ "mean_token_accuracy": 0.5323172301054001,
108
+ "num_tokens": 151617.0,
109
+ "step": 100
110
+ },
111
+ {
112
+ "epoch": 0.1577626389386877,
113
+ "grad_norm": 2.4780445098876953,
114
+ "learning_rate": 9.493065518890484e-05,
115
+ "loss": 2.2107,
116
+ "mean_token_accuracy": 0.5437798015773296,
117
+ "num_tokens": 170078.0,
118
+ "step": 110
119
+ },
120
+ {
121
+ "epoch": 0.17210469702402295,
122
+ "grad_norm": 1.6531819105148315,
123
+ "learning_rate": 9.445241511238642e-05,
124
+ "loss": 2.1105,
125
+ "mean_token_accuracy": 0.5754976846277714,
126
+ "num_tokens": 184960.0,
127
+ "step": 120
128
+ },
129
+ {
130
+ "epoch": 0.18644675510935818,
131
+ "grad_norm": 9.240232467651367,
132
+ "learning_rate": 9.397417503586801e-05,
133
+ "loss": 2.3352,
134
+ "mean_token_accuracy": 0.5454905904829502,
135
+ "num_tokens": 198141.0,
136
+ "step": 130
137
+ },
138
+ {
139
+ "epoch": 0.20078881319469344,
140
+ "grad_norm": 1.601082444190979,
141
+ "learning_rate": 9.349593495934959e-05,
142
+ "loss": 2.0366,
143
+ "mean_token_accuracy": 0.598464447259903,
144
+ "num_tokens": 213818.0,
145
+ "step": 140
146
+ },
147
+ {
148
+ "epoch": 0.2151308712800287,
149
+ "grad_norm": 1.8371312618255615,
150
+ "learning_rate": 9.301769488283119e-05,
151
+ "loss": 2.2671,
152
+ "mean_token_accuracy": 0.5460132732987404,
153
+ "num_tokens": 228452.0,
154
+ "step": 150
155
+ },
156
+ {
157
+ "epoch": 0.22947292936536393,
158
+ "grad_norm": 1.5072098970413208,
159
+ "learning_rate": 9.253945480631277e-05,
160
+ "loss": 2.0947,
161
+ "mean_token_accuracy": 0.5814152680337429,
162
+ "num_tokens": 242744.0,
163
+ "step": 160
164
+ },
165
+ {
166
+ "epoch": 0.24381498745069918,
167
+ "grad_norm": 2.21504807472229,
168
+ "learning_rate": 9.206121472979437e-05,
169
+ "loss": 1.8873,
170
+ "mean_token_accuracy": 0.6064566381275653,
171
+ "num_tokens": 257036.0,
172
+ "step": 170
173
+ },
174
+ {
175
+ "epoch": 0.2581570455360344,
176
+ "grad_norm": 1.861096739768982,
177
+ "learning_rate": 9.158297465327594e-05,
178
+ "loss": 2.1033,
179
+ "mean_token_accuracy": 0.5820611655712128,
180
+ "num_tokens": 270889.0,
181
+ "step": 180
182
+ },
183
+ {
184
+ "epoch": 0.27249910362136964,
185
+ "grad_norm": 1.8603662252426147,
186
+ "learning_rate": 9.110473457675754e-05,
187
+ "loss": 2.1123,
188
+ "mean_token_accuracy": 0.58076161891222,
189
+ "num_tokens": 286076.0,
190
+ "step": 190
191
+ },
192
+ {
193
+ "epoch": 0.28684116170670493,
194
+ "grad_norm": 1.733254075050354,
195
+ "learning_rate": 9.062649450023912e-05,
196
+ "loss": 1.8983,
197
+ "mean_token_accuracy": 0.6083198614418507,
198
+ "num_tokens": 303708.0,
199
+ "step": 200
200
+ },
201
+ {
202
+ "epoch": 0.30118321979204016,
203
+ "grad_norm": 2.6913516521453857,
204
+ "learning_rate": 9.014825442372072e-05,
205
+ "loss": 2.0216,
206
+ "mean_token_accuracy": 0.5970883950591087,
207
+ "num_tokens": 319821.0,
208
+ "step": 210
209
+ },
210
+ {
211
+ "epoch": 0.3155252778773754,
212
+ "grad_norm": 1.7351229190826416,
213
+ "learning_rate": 8.96700143472023e-05,
214
+ "loss": 1.8032,
215
+ "mean_token_accuracy": 0.6248559698462486,
216
+ "num_tokens": 339102.0,
217
+ "step": 220
218
+ },
219
+ {
220
+ "epoch": 0.3298673359627107,
221
+ "grad_norm": 1.5186843872070312,
222
+ "learning_rate": 8.91917742706839e-05,
223
+ "loss": 1.7491,
224
+ "mean_token_accuracy": 0.6350872039794921,
225
+ "num_tokens": 355472.0,
226
+ "step": 230
227
+ },
228
+ {
229
+ "epoch": 0.3442093940480459,
230
+ "grad_norm": 1.639203429222107,
231
+ "learning_rate": 8.871353419416547e-05,
232
+ "loss": 1.6937,
233
+ "mean_token_accuracy": 0.6430230528116226,
234
+ "num_tokens": 370676.0,
235
+ "step": 240
236
+ },
237
+ {
238
+ "epoch": 0.35855145213338113,
239
+ "grad_norm": 3.4076974391937256,
240
+ "learning_rate": 8.823529411764706e-05,
241
+ "loss": 1.8259,
242
+ "mean_token_accuracy": 0.6324844613671303,
243
+ "num_tokens": 387764.0,
244
+ "step": 250
245
+ },
246
+ {
247
+ "epoch": 0.37289351021871636,
248
+ "grad_norm": 1.737406611442566,
249
+ "learning_rate": 8.775705404112865e-05,
250
+ "loss": 1.8649,
251
+ "mean_token_accuracy": 0.6135493002831935,
252
+ "num_tokens": 402937.0,
253
+ "step": 260
254
+ },
255
+ {
256
+ "epoch": 0.38723556830405165,
257
+ "grad_norm": 2.120741605758667,
258
+ "learning_rate": 8.727881396461025e-05,
259
+ "loss": 1.7671,
260
+ "mean_token_accuracy": 0.6292251981794834,
261
+ "num_tokens": 418228.0,
262
+ "step": 270
263
+ },
264
+ {
265
+ "epoch": 0.4015776263893869,
266
+ "grad_norm": 1.5619535446166992,
267
+ "learning_rate": 8.680057388809183e-05,
268
+ "loss": 1.8934,
269
+ "mean_token_accuracy": 0.6246664986014366,
270
+ "num_tokens": 432792.0,
271
+ "step": 280
272
+ },
273
+ {
274
+ "epoch": 0.4159196844747221,
275
+ "grad_norm": 6.643039703369141,
276
+ "learning_rate": 8.632233381157341e-05,
277
+ "loss": 1.7215,
278
+ "mean_token_accuracy": 0.6430931359529495,
279
+ "num_tokens": 450508.0,
280
+ "step": 290
281
+ },
282
+ {
283
+ "epoch": 0.4302617425600574,
284
+ "grad_norm": 3.8804564476013184,
285
+ "learning_rate": 8.5844093735055e-05,
286
+ "loss": 1.7634,
287
+ "mean_token_accuracy": 0.63612090498209,
288
+ "num_tokens": 463939.0,
289
+ "step": 300
290
+ },
291
+ {
292
+ "epoch": 0.4446038006453926,
293
+ "grad_norm": 2.418219566345215,
294
+ "learning_rate": 8.53658536585366e-05,
295
+ "loss": 1.6666,
296
+ "mean_token_accuracy": 0.6541348457336426,
297
+ "num_tokens": 481126.0,
298
+ "step": 310
299
+ },
300
+ {
301
+ "epoch": 0.45894585873072785,
302
+ "grad_norm": 2.0463144779205322,
303
+ "learning_rate": 8.488761358201818e-05,
304
+ "loss": 1.7649,
305
+ "mean_token_accuracy": 0.6427375547587871,
306
+ "num_tokens": 496113.0,
307
+ "step": 320
308
+ },
309
+ {
310
+ "epoch": 0.4732879168160631,
311
+ "grad_norm": 3.4844088554382324,
312
+ "learning_rate": 8.440937350549976e-05,
313
+ "loss": 1.6673,
314
+ "mean_token_accuracy": 0.6421275071799755,
315
+ "num_tokens": 513793.0,
316
+ "step": 330
317
+ },
318
+ {
319
+ "epoch": 0.48762997490139837,
320
+ "grad_norm": 2.4026458263397217,
321
+ "learning_rate": 8.393113342898136e-05,
322
+ "loss": 1.721,
323
+ "mean_token_accuracy": 0.6389043562114238,
324
+ "num_tokens": 529289.0,
325
+ "step": 340
326
+ },
327
+ {
328
+ "epoch": 0.5019720329867337,
329
+ "grad_norm": 1.8850486278533936,
330
+ "learning_rate": 8.345289335246294e-05,
331
+ "loss": 1.8284,
332
+ "mean_token_accuracy": 0.6292856223881245,
333
+ "num_tokens": 545136.0,
334
+ "step": 350
335
+ },
336
+ {
337
+ "epoch": 0.5163140910720688,
338
+ "grad_norm": 3.17570161819458,
339
+ "learning_rate": 8.297465327594453e-05,
340
+ "loss": 1.7378,
341
+ "mean_token_accuracy": 0.6412064053118229,
342
+ "num_tokens": 562947.0,
343
+ "step": 360
344
+ },
345
+ {
346
+ "epoch": 0.5306561491574041,
347
+ "grad_norm": 2.047070026397705,
348
+ "learning_rate": 8.249641319942611e-05,
349
+ "loss": 1.6242,
350
+ "mean_token_accuracy": 0.6595074772834778,
351
+ "num_tokens": 577017.0,
352
+ "step": 370
353
+ },
354
+ {
355
+ "epoch": 0.5449982072427393,
356
+ "grad_norm": 2.9317102432250977,
357
+ "learning_rate": 8.20181731229077e-05,
358
+ "loss": 1.6056,
359
+ "mean_token_accuracy": 0.6700303673744201,
360
+ "num_tokens": 592786.0,
361
+ "step": 380
362
+ },
363
+ {
364
+ "epoch": 0.5593402653280746,
365
+ "grad_norm": 2.8381388187408447,
366
+ "learning_rate": 8.153993304638929e-05,
367
+ "loss": 1.6943,
368
+ "mean_token_accuracy": 0.6448078341782093,
369
+ "num_tokens": 609927.0,
370
+ "step": 390
371
+ },
372
+ {
373
+ "epoch": 0.5736823234134099,
374
+ "grad_norm": 2.2730963230133057,
375
+ "learning_rate": 8.106169296987089e-05,
376
+ "loss": 1.5817,
377
+ "mean_token_accuracy": 0.6591131195425988,
378
+ "num_tokens": 625711.0,
379
+ "step": 400
380
+ },
381
+ {
382
+ "epoch": 0.588024381498745,
383
+ "grad_norm": 2.802509307861328,
384
+ "learning_rate": 8.058345289335246e-05,
385
+ "loss": 1.6625,
386
+ "mean_token_accuracy": 0.6519417136907577,
387
+ "num_tokens": 642904.0,
388
+ "step": 410
389
+ },
390
+ {
391
+ "epoch": 0.6023664395840803,
392
+ "grad_norm": 2.065239429473877,
393
+ "learning_rate": 8.010521281683405e-05,
394
+ "loss": 1.6026,
395
+ "mean_token_accuracy": 0.656041894853115,
396
+ "num_tokens": 659332.0,
397
+ "step": 420
398
+ },
399
+ {
400
+ "epoch": 0.6167084976694156,
401
+ "grad_norm": 1.4606506824493408,
402
+ "learning_rate": 7.962697274031564e-05,
403
+ "loss": 1.5676,
404
+ "mean_token_accuracy": 0.6626035153865815,
405
+ "num_tokens": 675202.0,
406
+ "step": 430
407
+ },
408
+ {
409
+ "epoch": 0.6310505557547508,
410
+ "grad_norm": 4.072043418884277,
411
+ "learning_rate": 7.914873266379723e-05,
412
+ "loss": 1.6388,
413
+ "mean_token_accuracy": 0.6583093114197254,
414
+ "num_tokens": 690023.0,
415
+ "step": 440
416
+ },
417
+ {
418
+ "epoch": 0.6453926138400861,
419
+ "grad_norm": 1.800016164779663,
420
+ "learning_rate": 7.867049258727882e-05,
421
+ "loss": 1.8092,
422
+ "mean_token_accuracy": 0.6206394098699093,
423
+ "num_tokens": 706376.0,
424
+ "step": 450
425
+ },
426
+ {
427
+ "epoch": 0.6597346719254213,
428
+ "grad_norm": 3.809736490249634,
429
+ "learning_rate": 7.819225251076042e-05,
430
+ "loss": 1.5875,
431
+ "mean_token_accuracy": 0.6476077564060688,
432
+ "num_tokens": 721324.0,
433
+ "step": 460
434
+ },
435
+ {
436
+ "epoch": 0.6740767300107565,
437
+ "grad_norm": 2.1231305599212646,
438
+ "learning_rate": 7.771401243424199e-05,
439
+ "loss": 1.6035,
440
+ "mean_token_accuracy": 0.6592143125832081,
441
+ "num_tokens": 738919.0,
442
+ "step": 470
443
+ },
444
+ {
445
+ "epoch": 0.6884187880960918,
446
+ "grad_norm": 2.784208297729492,
447
+ "learning_rate": 7.723577235772358e-05,
448
+ "loss": 1.6384,
449
+ "mean_token_accuracy": 0.6568839088082313,
450
+ "num_tokens": 754580.0,
451
+ "step": 480
452
+ },
453
+ {
454
+ "epoch": 0.7027608461814271,
455
+ "grad_norm": 1.5424902439117432,
456
+ "learning_rate": 7.675753228120517e-05,
457
+ "loss": 1.5661,
458
+ "mean_token_accuracy": 0.6690633282065391,
459
+ "num_tokens": 769337.0,
460
+ "step": 490
461
+ },
462
+ {
463
+ "epoch": 0.7171029042667623,
464
+ "grad_norm": 2.4127919673919678,
465
+ "learning_rate": 7.627929220468676e-05,
466
+ "loss": 1.7273,
467
+ "mean_token_accuracy": 0.6398490175604821,
468
+ "num_tokens": 784894.0,
469
+ "step": 500
470
+ },
471
+ {
472
+ "epoch": 0.7314449623520975,
473
+ "grad_norm": 1.8765316009521484,
474
+ "learning_rate": 7.580105212816835e-05,
475
+ "loss": 1.72,
476
+ "mean_token_accuracy": 0.644102756679058,
477
+ "num_tokens": 800931.0,
478
+ "step": 510
479
+ },
480
+ {
481
+ "epoch": 0.7457870204374327,
482
+ "grad_norm": 1.97030508518219,
483
+ "learning_rate": 7.532281205164993e-05,
484
+ "loss": 1.6752,
485
+ "mean_token_accuracy": 0.6556637264788151,
486
+ "num_tokens": 816581.0,
487
+ "step": 520
488
+ },
489
+ {
490
+ "epoch": 0.760129078522768,
491
+ "grad_norm": 2.5584030151367188,
492
+ "learning_rate": 7.484457197513151e-05,
493
+ "loss": 1.6071,
494
+ "mean_token_accuracy": 0.6555875569581986,
495
+ "num_tokens": 832985.0,
496
+ "step": 530
497
+ },
498
+ {
499
+ "epoch": 0.7744711366081033,
500
+ "grad_norm": 2.1065962314605713,
501
+ "learning_rate": 7.436633189861311e-05,
502
+ "loss": 1.6353,
503
+ "mean_token_accuracy": 0.6672606863081455,
504
+ "num_tokens": 848592.0,
505
+ "step": 540
506
+ },
507
+ {
508
+ "epoch": 0.7888131946934385,
509
+ "grad_norm": 2.460101366043091,
510
+ "learning_rate": 7.38880918220947e-05,
511
+ "loss": 1.6701,
512
+ "mean_token_accuracy": 0.6500819236040115,
513
+ "num_tokens": 862542.0,
514
+ "step": 550
515
+ },
516
+ {
517
+ "epoch": 0.8031552527787738,
518
+ "grad_norm": 1.6919441223144531,
519
+ "learning_rate": 7.340985174557629e-05,
520
+ "loss": 1.6249,
521
+ "mean_token_accuracy": 0.6479768246412277,
522
+ "num_tokens": 877457.0,
523
+ "step": 560
524
+ },
525
+ {
526
+ "epoch": 0.817497310864109,
527
+ "grad_norm": 1.7528458833694458,
528
+ "learning_rate": 7.293161166905788e-05,
529
+ "loss": 1.5832,
530
+ "mean_token_accuracy": 0.6721912071108818,
531
+ "num_tokens": 892474.0,
532
+ "step": 570
533
+ },
534
+ {
535
+ "epoch": 0.8318393689494442,
536
+ "grad_norm": 2.1731760501861572,
537
+ "learning_rate": 7.245337159253946e-05,
538
+ "loss": 1.5953,
539
+ "mean_token_accuracy": 0.6713483422994614,
540
+ "num_tokens": 910071.0,
541
+ "step": 580
542
+ },
543
+ {
544
+ "epoch": 0.8461814270347795,
545
+ "grad_norm": 1.6760331392288208,
546
+ "learning_rate": 7.197513151602104e-05,
547
+ "loss": 1.647,
548
+ "mean_token_accuracy": 0.6591413423418999,
549
+ "num_tokens": 927445.0,
550
+ "step": 590
551
+ },
552
+ {
553
+ "epoch": 0.8605234851201148,
554
+ "grad_norm": 1.4302948713302612,
555
+ "learning_rate": 7.149689143950264e-05,
556
+ "loss": 1.6653,
557
+ "mean_token_accuracy": 0.6485698565840721,
558
+ "num_tokens": 942011.0,
559
+ "step": 600
560
+ },
561
+ {
562
+ "epoch": 0.87486554320545,
563
+ "grad_norm": 2.2263236045837402,
564
+ "learning_rate": 7.101865136298422e-05,
565
+ "loss": 1.4487,
566
+ "mean_token_accuracy": 0.6805191606283187,
567
+ "num_tokens": 957309.0,
568
+ "step": 610
569
+ },
570
+ {
571
+ "epoch": 0.8892076012907852,
572
+ "grad_norm": 2.6513445377349854,
573
+ "learning_rate": 7.054041128646581e-05,
574
+ "loss": 1.661,
575
+ "mean_token_accuracy": 0.6481011644005775,
576
+ "num_tokens": 970774.0,
577
+ "step": 620
578
+ },
579
+ {
580
+ "epoch": 0.9035496593761205,
581
+ "grad_norm": 1.9575634002685547,
582
+ "learning_rate": 7.006217120994739e-05,
583
+ "loss": 1.5155,
584
+ "mean_token_accuracy": 0.6912697181105614,
585
+ "num_tokens": 985630.0,
586
+ "step": 630
587
+ },
588
+ {
589
+ "epoch": 0.9178917174614557,
590
+ "grad_norm": 1.7692954540252686,
591
+ "learning_rate": 6.958393113342897e-05,
592
+ "loss": 1.5249,
593
+ "mean_token_accuracy": 0.6790330305695533,
594
+ "num_tokens": 1001557.0,
595
+ "step": 640
596
+ },
597
+ {
598
+ "epoch": 0.932233775546791,
599
+ "grad_norm": 1.6159223318099976,
600
+ "learning_rate": 6.910569105691057e-05,
601
+ "loss": 1.4862,
602
+ "mean_token_accuracy": 0.6802081070840359,
603
+ "num_tokens": 1017875.0,
604
+ "step": 650
605
+ },
606
+ {
607
+ "epoch": 0.9465758336321262,
608
+ "grad_norm": 1.7482064962387085,
609
+ "learning_rate": 6.862745098039216e-05,
610
+ "loss": 1.7641,
611
+ "mean_token_accuracy": 0.6506462752819061,
612
+ "num_tokens": 1035082.0,
613
+ "step": 660
614
+ },
615
+ {
616
+ "epoch": 0.9609178917174614,
617
+ "grad_norm": 1.83534574508667,
618
+ "learning_rate": 6.814921090387375e-05,
619
+ "loss": 1.5879,
620
+ "mean_token_accuracy": 0.6688900426030159,
621
+ "num_tokens": 1050136.0,
622
+ "step": 670
623
+ },
624
+ {
625
+ "epoch": 0.9752599498027967,
626
+ "grad_norm": 4.526679515838623,
627
+ "learning_rate": 6.767097082735534e-05,
628
+ "loss": 1.6348,
629
+ "mean_token_accuracy": 0.6631537288427353,
630
+ "num_tokens": 1064297.0,
631
+ "step": 680
632
+ },
633
+ {
634
+ "epoch": 0.9896020078881319,
635
+ "grad_norm": 3.217916965484619,
636
+ "learning_rate": 6.719273075083692e-05,
637
+ "loss": 1.6184,
638
+ "mean_token_accuracy": 0.6580263905227184,
639
+ "num_tokens": 1082302.0,
640
+ "step": 690
641
+ },
642
+ {
643
+ "epoch": 1.002868411617067,
644
+ "grad_norm": 2.3952481746673584,
645
+ "learning_rate": 6.67144906743185e-05,
646
+ "loss": 1.552,
647
+ "mean_token_accuracy": 0.6819982995858064,
648
+ "num_tokens": 1095261.0,
649
+ "step": 700
650
+ },
651
+ {
652
+ "epoch": 1.0172104697024023,
653
+ "grad_norm": 1.892841100692749,
654
+ "learning_rate": 6.62362505978001e-05,
655
+ "loss": 1.571,
656
+ "mean_token_accuracy": 0.6693050697445869,
657
+ "num_tokens": 1110422.0,
658
+ "step": 710
659
+ },
660
+ {
661
+ "epoch": 1.0315525277877375,
662
+ "grad_norm": 22.51019287109375,
663
+ "learning_rate": 6.575801052128168e-05,
664
+ "loss": 1.5682,
665
+ "mean_token_accuracy": 0.6653205692768097,
666
+ "num_tokens": 1127096.0,
667
+ "step": 720
668
+ },
669
+ {
670
+ "epoch": 1.0458945858730728,
671
+ "grad_norm": 2.4129638671875,
672
+ "learning_rate": 6.527977044476328e-05,
673
+ "loss": 1.5858,
674
+ "mean_token_accuracy": 0.6521917231380939,
675
+ "num_tokens": 1143137.0,
676
+ "step": 730
677
+ },
678
+ {
679
+ "epoch": 1.060236643958408,
680
+ "grad_norm": 2.1772189140319824,
681
+ "learning_rate": 6.480153036824486e-05,
682
+ "loss": 1.6734,
683
+ "mean_token_accuracy": 0.6441927455365658,
684
+ "num_tokens": 1157904.0,
685
+ "step": 740
686
+ },
687
+ {
688
+ "epoch": 1.0745787020437434,
689
+ "grad_norm": 1.4643489122390747,
690
+ "learning_rate": 6.432329029172645e-05,
691
+ "loss": 1.4623,
692
+ "mean_token_accuracy": 0.6849726974964142,
693
+ "num_tokens": 1176653.0,
694
+ "step": 750
695
+ },
696
+ {
697
+ "epoch": 1.0889207601290785,
698
+ "grad_norm": 1.3659816980361938,
699
+ "learning_rate": 6.384505021520803e-05,
700
+ "loss": 1.434,
701
+ "mean_token_accuracy": 0.6869873121380806,
702
+ "num_tokens": 1193019.0,
703
+ "step": 760
704
+ },
705
+ {
706
+ "epoch": 1.1032628182144137,
707
+ "grad_norm": 1.920989990234375,
708
+ "learning_rate": 6.336681013868963e-05,
709
+ "loss": 1.6151,
710
+ "mean_token_accuracy": 0.6590917229652404,
711
+ "num_tokens": 1209004.0,
712
+ "step": 770
713
+ },
714
+ {
715
+ "epoch": 1.117604876299749,
716
+ "grad_norm": 2.5810189247131348,
717
+ "learning_rate": 6.288857006217121e-05,
718
+ "loss": 1.5681,
719
+ "mean_token_accuracy": 0.658272746950388,
720
+ "num_tokens": 1223332.0,
721
+ "step": 780
722
+ },
723
+ {
724
+ "epoch": 1.1319469343850843,
725
+ "grad_norm": 2.319913864135742,
726
+ "learning_rate": 6.241032998565281e-05,
727
+ "loss": 1.4777,
728
+ "mean_token_accuracy": 0.6888576149940491,
729
+ "num_tokens": 1237845.0,
730
+ "step": 790
731
+ },
732
+ {
733
+ "epoch": 1.1462889924704196,
734
+ "grad_norm": 3.982288122177124,
735
+ "learning_rate": 6.193208990913438e-05,
736
+ "loss": 1.5009,
737
+ "mean_token_accuracy": 0.6694469384849071,
738
+ "num_tokens": 1254783.0,
739
+ "step": 800
740
+ },
741
+ {
742
+ "epoch": 1.1606310505557547,
743
+ "grad_norm": 1.5996657609939575,
744
+ "learning_rate": 6.145384983261598e-05,
745
+ "loss": 1.5317,
746
+ "mean_token_accuracy": 0.6781374484300613,
747
+ "num_tokens": 1271210.0,
748
+ "step": 810
749
+ },
750
+ {
751
+ "epoch": 1.17497310864109,
752
+ "grad_norm": 3.356278419494629,
753
+ "learning_rate": 6.097560975609756e-05,
754
+ "loss": 1.5377,
755
+ "mean_token_accuracy": 0.6668447598814964,
756
+ "num_tokens": 1284772.0,
757
+ "step": 820
758
+ },
759
+ {
760
+ "epoch": 1.1893151667264252,
761
+ "grad_norm": 1.802544355392456,
762
+ "learning_rate": 6.049736967957915e-05,
763
+ "loss": 1.5716,
764
+ "mean_token_accuracy": 0.6638300716876984,
765
+ "num_tokens": 1299024.0,
766
+ "step": 830
767
+ },
768
+ {
769
+ "epoch": 1.2036572248117605,
770
+ "grad_norm": 2.500906467437744,
771
+ "learning_rate": 6.001912960306074e-05,
772
+ "loss": 1.5394,
773
+ "mean_token_accuracy": 0.6792485311627388,
774
+ "num_tokens": 1316230.0,
775
+ "step": 840
776
+ },
777
+ {
778
+ "epoch": 1.2179992828970958,
779
+ "grad_norm": 3.2831778526306152,
780
+ "learning_rate": 5.954088952654233e-05,
781
+ "loss": 1.3411,
782
+ "mean_token_accuracy": 0.7026472240686417,
783
+ "num_tokens": 1335171.0,
784
+ "step": 850
785
+ },
786
+ {
787
+ "epoch": 1.232341340982431,
788
+ "grad_norm": 1.632434368133545,
789
+ "learning_rate": 5.906264945002391e-05,
790
+ "loss": 1.6163,
791
+ "mean_token_accuracy": 0.6708522118628025,
792
+ "num_tokens": 1350786.0,
793
+ "step": 860
794
+ },
795
+ {
796
+ "epoch": 1.2466833990677662,
797
+ "grad_norm": 2.128074884414673,
798
+ "learning_rate": 5.85844093735055e-05,
799
+ "loss": 1.5226,
800
+ "mean_token_accuracy": 0.6910128638148307,
801
+ "num_tokens": 1367664.0,
802
+ "step": 870
803
+ },
804
+ {
805
+ "epoch": 1.2610254571531014,
806
+ "grad_norm": 1.786818265914917,
807
+ "learning_rate": 5.810616929698709e-05,
808
+ "loss": 1.4107,
809
+ "mean_token_accuracy": 0.6914131015539169,
810
+ "num_tokens": 1384317.0,
811
+ "step": 880
812
+ },
813
+ {
814
+ "epoch": 1.2753675152384367,
815
+ "grad_norm": 2.589280128479004,
816
+ "learning_rate": 5.762792922046868e-05,
817
+ "loss": 1.4736,
818
+ "mean_token_accuracy": 0.6800985768437385,
819
+ "num_tokens": 1402238.0,
820
+ "step": 890
821
+ },
822
+ {
823
+ "epoch": 1.289709573323772,
824
+ "grad_norm": 2.6926186084747314,
825
+ "learning_rate": 5.714968914395027e-05,
826
+ "loss": 1.6272,
827
+ "mean_token_accuracy": 0.6593966111540794,
828
+ "num_tokens": 1418578.0,
829
+ "step": 900
830
+ },
831
+ {
832
+ "epoch": 1.304051631409107,
833
+ "grad_norm": 2.787445306777954,
834
+ "learning_rate": 5.667144906743186e-05,
835
+ "loss": 1.432,
836
+ "mean_token_accuracy": 0.6899330474436283,
837
+ "num_tokens": 1434941.0,
838
+ "step": 910
839
+ },
840
+ {
841
+ "epoch": 1.3183936894944424,
842
+ "grad_norm": 5.517631530761719,
843
+ "learning_rate": 5.619320899091344e-05,
844
+ "loss": 1.5307,
845
+ "mean_token_accuracy": 0.6874054931104183,
846
+ "num_tokens": 1448665.0,
847
+ "step": 920
848
+ },
849
+ {
850
+ "epoch": 1.3327357475797776,
851
+ "grad_norm": 1.9263485670089722,
852
+ "learning_rate": 5.571496891439503e-05,
853
+ "loss": 1.5261,
854
+ "mean_token_accuracy": 0.679547868669033,
855
+ "num_tokens": 1462120.0,
856
+ "step": 930
857
+ },
858
+ {
859
+ "epoch": 1.347077805665113,
860
+ "grad_norm": 2.604401111602783,
861
+ "learning_rate": 5.523672883787662e-05,
862
+ "loss": 1.5099,
863
+ "mean_token_accuracy": 0.6857024997472763,
864
+ "num_tokens": 1476792.0,
865
+ "step": 940
866
+ },
867
+ {
868
+ "epoch": 1.3614198637504482,
869
+ "grad_norm": 2.0061893463134766,
870
+ "learning_rate": 5.480631276901005e-05,
871
+ "loss": 1.6256,
872
+ "mean_token_accuracy": 0.6685486875474453,
873
+ "num_tokens": 1493863.0,
874
+ "step": 950
875
+ },
876
+ {
877
+ "epoch": 1.3757619218357835,
878
+ "grad_norm": 1.8100831508636475,
879
+ "learning_rate": 5.432807269249164e-05,
880
+ "loss": 1.4529,
881
+ "mean_token_accuracy": 0.6858629032969474,
882
+ "num_tokens": 1510236.0,
883
+ "step": 960
884
+ },
885
+ {
886
+ "epoch": 1.3901039799211188,
887
+ "grad_norm": 1.7307875156402588,
888
+ "learning_rate": 5.3849832615973216e-05,
889
+ "loss": 1.5551,
890
+ "mean_token_accuracy": 0.6620718680322171,
891
+ "num_tokens": 1526526.0,
892
+ "step": 970
893
+ },
894
+ {
895
+ "epoch": 1.4044460380064538,
896
+ "grad_norm": 2.136469602584839,
897
+ "learning_rate": 5.337159253945481e-05,
898
+ "loss": 1.4498,
899
+ "mean_token_accuracy": 0.6863499596714974,
900
+ "num_tokens": 1541400.0,
901
+ "step": 980
902
+ },
903
+ {
904
+ "epoch": 1.4187880960917891,
905
+ "grad_norm": 1.960593819618225,
906
+ "learning_rate": 5.28933524629364e-05,
907
+ "loss": 1.6216,
908
+ "mean_token_accuracy": 0.6671703614294529,
909
+ "num_tokens": 1555980.0,
910
+ "step": 990
911
+ },
912
+ {
913
+ "epoch": 1.4331301541771244,
914
+ "grad_norm": 2.4239704608917236,
915
+ "learning_rate": 5.241511238641799e-05,
916
+ "loss": 1.5087,
917
+ "mean_token_accuracy": 0.6855074353516102,
918
+ "num_tokens": 1571350.0,
919
+ "step": 1000
920
+ },
921
+ {
922
+ "epoch": 1.4474722122624597,
923
+ "grad_norm": 3.153437852859497,
924
+ "learning_rate": 5.193687230989958e-05,
925
+ "loss": 1.4422,
926
+ "mean_token_accuracy": 0.7070553943514823,
927
+ "num_tokens": 1585106.0,
928
+ "step": 1010
929
+ },
930
+ {
931
+ "epoch": 1.461814270347795,
932
+ "grad_norm": 1.828374981880188,
933
+ "learning_rate": 5.1458632233381155e-05,
934
+ "loss": 1.5071,
935
+ "mean_token_accuracy": 0.6775861948728561,
936
+ "num_tokens": 1600582.0,
937
+ "step": 1020
938
+ },
939
+ {
940
+ "epoch": 1.47615632843313,
941
+ "grad_norm": 4.680983543395996,
942
+ "learning_rate": 5.0980392156862745e-05,
943
+ "loss": 1.5504,
944
+ "mean_token_accuracy": 0.6747892014682293,
945
+ "num_tokens": 1614677.0,
946
+ "step": 1030
947
+ },
948
+ {
949
+ "epoch": 1.4904983865184653,
950
+ "grad_norm": 2.083742380142212,
951
+ "learning_rate": 5.0502152080344336e-05,
952
+ "loss": 1.4545,
953
+ "mean_token_accuracy": 0.6944699421525001,
954
+ "num_tokens": 1630046.0,
955
+ "step": 1040
956
+ },
957
+ {
958
+ "epoch": 1.5048404446038006,
959
+ "grad_norm": 3.8617031574249268,
960
+ "learning_rate": 5.0023912003825926e-05,
961
+ "loss": 1.5685,
962
+ "mean_token_accuracy": 0.6765852883458138,
963
+ "num_tokens": 1645660.0,
964
+ "step": 1050
965
+ },
966
+ {
967
+ "epoch": 1.519182502689136,
968
+ "grad_norm": 2.4847116470336914,
969
+ "learning_rate": 4.9545671927307516e-05,
970
+ "loss": 1.5439,
971
+ "mean_token_accuracy": 0.6794092074036598,
972
+ "num_tokens": 1661080.0,
973
+ "step": 1060
974
+ },
975
+ {
976
+ "epoch": 1.5335245607744712,
977
+ "grad_norm": 3.753831148147583,
978
+ "learning_rate": 4.90674318507891e-05,
979
+ "loss": 1.5337,
980
+ "mean_token_accuracy": 0.6865640193223953,
981
+ "num_tokens": 1675490.0,
982
+ "step": 1070
983
+ },
984
+ {
985
+ "epoch": 1.5478666188598065,
986
+ "grad_norm": 1.5879663228988647,
987
+ "learning_rate": 4.858919177427069e-05,
988
+ "loss": 1.4808,
989
+ "mean_token_accuracy": 0.681853985786438,
990
+ "num_tokens": 1689533.0,
991
+ "step": 1080
992
+ },
993
+ {
994
+ "epoch": 1.5622086769451418,
995
+ "grad_norm": 1.138118028640747,
996
+ "learning_rate": 4.8110951697752274e-05,
997
+ "loss": 1.4723,
998
+ "mean_token_accuracy": 0.6909654997289181,
999
+ "num_tokens": 1706915.0,
1000
+ "step": 1090
1001
+ },
1002
+ {
1003
+ "epoch": 1.5765507350304768,
1004
+ "grad_norm": 2.1534876823425293,
1005
+ "learning_rate": 4.763271162123386e-05,
1006
+ "loss": 1.6073,
1007
+ "mean_token_accuracy": 0.6727578081190586,
1008
+ "num_tokens": 1722527.0,
1009
+ "step": 1100
1010
+ },
1011
+ {
1012
+ "epoch": 1.590892793115812,
1013
+ "grad_norm": 1.9966998100280762,
1014
+ "learning_rate": 4.715447154471545e-05,
1015
+ "loss": 1.4986,
1016
+ "mean_token_accuracy": 0.676116967946291,
1017
+ "num_tokens": 1737987.0,
1018
+ "step": 1110
1019
+ },
1020
+ {
1021
+ "epoch": 1.6052348512011474,
1022
+ "grad_norm": 1.9551148414611816,
1023
+ "learning_rate": 4.667623146819703e-05,
1024
+ "loss": 1.4541,
1025
+ "mean_token_accuracy": 0.6881252631545067,
1026
+ "num_tokens": 1754778.0,
1027
+ "step": 1120
1028
+ },
1029
+ {
1030
+ "epoch": 1.6195769092864825,
1031
+ "grad_norm": 2.3044798374176025,
1032
+ "learning_rate": 4.619799139167862e-05,
1033
+ "loss": 1.5929,
1034
+ "mean_token_accuracy": 0.6656625166535377,
1035
+ "num_tokens": 1769795.0,
1036
+ "step": 1130
1037
+ },
1038
+ {
1039
+ "epoch": 1.6339189673718177,
1040
+ "grad_norm": 2.1620051860809326,
1041
+ "learning_rate": 4.571975131516021e-05,
1042
+ "loss": 1.5498,
1043
+ "mean_token_accuracy": 0.6724934101104736,
1044
+ "num_tokens": 1785990.0,
1045
+ "step": 1140
1046
+ },
1047
+ {
1048
+ "epoch": 1.648261025457153,
1049
+ "grad_norm": 1.2986624240875244,
1050
+ "learning_rate": 4.5241511238641796e-05,
1051
+ "loss": 1.4972,
1052
+ "mean_token_accuracy": 0.681456783413887,
1053
+ "num_tokens": 1804143.0,
1054
+ "step": 1150
1055
+ },
1056
+ {
1057
+ "epoch": 1.6626030835424883,
1058
+ "grad_norm": 1.6331572532653809,
1059
+ "learning_rate": 4.4763271162123386e-05,
1060
+ "loss": 1.5982,
1061
+ "mean_token_accuracy": 0.6560898676514626,
1062
+ "num_tokens": 1818754.0,
1063
+ "step": 1160
1064
+ },
1065
+ {
1066
+ "epoch": 1.6769451416278236,
1067
+ "grad_norm": 1.3731579780578613,
1068
+ "learning_rate": 4.428503108560498e-05,
1069
+ "loss": 1.4023,
1070
+ "mean_token_accuracy": 0.7019235521554947,
1071
+ "num_tokens": 1834913.0,
1072
+ "step": 1170
1073
+ },
1074
+ {
1075
+ "epoch": 1.6912871997131589,
1076
+ "grad_norm": 1.8848557472229004,
1077
+ "learning_rate": 4.380679100908656e-05,
1078
+ "loss": 1.4246,
1079
+ "mean_token_accuracy": 0.6995187073945999,
1080
+ "num_tokens": 1849201.0,
1081
+ "step": 1180
1082
+ },
1083
+ {
1084
+ "epoch": 1.7056292577984942,
1085
+ "grad_norm": 2.893299102783203,
1086
+ "learning_rate": 4.332855093256815e-05,
1087
+ "loss": 1.4975,
1088
+ "mean_token_accuracy": 0.6855712987482547,
1089
+ "num_tokens": 1863036.0,
1090
+ "step": 1190
1091
+ },
1092
+ {
1093
+ "epoch": 1.7199713158838295,
1094
+ "grad_norm": 2.4176976680755615,
1095
+ "learning_rate": 4.285031085604974e-05,
1096
+ "loss": 1.5163,
1097
+ "mean_token_accuracy": 0.6739328794181347,
1098
+ "num_tokens": 1878746.0,
1099
+ "step": 1200
1100
+ },
1101
+ {
1102
+ "epoch": 1.7343133739691647,
1103
+ "grad_norm": 2.116476535797119,
1104
+ "learning_rate": 4.2372070779531325e-05,
1105
+ "loss": 1.5439,
1106
+ "mean_token_accuracy": 0.6762977614998817,
1107
+ "num_tokens": 1892601.0,
1108
+ "step": 1210
1109
+ },
1110
+ {
1111
+ "epoch": 1.7486554320544998,
1112
+ "grad_norm": 2.4355766773223877,
1113
+ "learning_rate": 4.1893830703012915e-05,
1114
+ "loss": 1.6207,
1115
+ "mean_token_accuracy": 0.6575247406959533,
1116
+ "num_tokens": 1909258.0,
1117
+ "step": 1220
1118
+ },
1119
+ {
1120
+ "epoch": 1.762997490139835,
1121
+ "grad_norm": 2.1678593158721924,
1122
+ "learning_rate": 4.1415590626494505e-05,
1123
+ "loss": 1.5225,
1124
+ "mean_token_accuracy": 0.6775545470416546,
1125
+ "num_tokens": 1924766.0,
1126
+ "step": 1230
1127
+ },
1128
+ {
1129
+ "epoch": 1.7773395482251702,
1130
+ "grad_norm": 2.594438314437866,
1131
+ "learning_rate": 4.093735054997609e-05,
1132
+ "loss": 1.4556,
1133
+ "mean_token_accuracy": 0.7052863880991935,
1134
+ "num_tokens": 1942931.0,
1135
+ "step": 1240
1136
+ },
1137
+ {
1138
+ "epoch": 1.7916816063105054,
1139
+ "grad_norm": 1.8568722009658813,
1140
+ "learning_rate": 4.045911047345768e-05,
1141
+ "loss": 1.484,
1142
+ "mean_token_accuracy": 0.6940086185932159,
1143
+ "num_tokens": 1959918.0,
1144
+ "step": 1250
1145
+ },
1146
+ {
1147
+ "epoch": 1.8060236643958407,
1148
+ "grad_norm": 2.9484922885894775,
1149
+ "learning_rate": 3.998087039693926e-05,
1150
+ "loss": 1.5105,
1151
+ "mean_token_accuracy": 0.683978445827961,
1152
+ "num_tokens": 1974063.0,
1153
+ "step": 1260
1154
+ },
1155
+ {
1156
+ "epoch": 1.820365722481176,
1157
+ "grad_norm": 2.427079916000366,
1158
+ "learning_rate": 3.9502630320420853e-05,
1159
+ "loss": 1.4813,
1160
+ "mean_token_accuracy": 0.7070754542946815,
1161
+ "num_tokens": 1988748.0,
1162
+ "step": 1270
1163
+ },
1164
+ {
1165
+ "epoch": 1.8347077805665113,
1166
+ "grad_norm": 2.605332136154175,
1167
+ "learning_rate": 3.9024390243902444e-05,
1168
+ "loss": 1.4335,
1169
+ "mean_token_accuracy": 0.6803991563618184,
1170
+ "num_tokens": 2005256.0,
1171
+ "step": 1280
1172
+ },
1173
+ {
1174
+ "epoch": 1.8490498386518466,
1175
+ "grad_norm": 1.4314664602279663,
1176
+ "learning_rate": 3.854615016738403e-05,
1177
+ "loss": 1.4365,
1178
+ "mean_token_accuracy": 0.6869161948561668,
1179
+ "num_tokens": 2020151.0,
1180
+ "step": 1290
1181
+ },
1182
+ {
1183
+ "epoch": 1.8633918967371819,
1184
+ "grad_norm": 2.391542673110962,
1185
+ "learning_rate": 3.806791009086562e-05,
1186
+ "loss": 1.3465,
1187
+ "mean_token_accuracy": 0.6867123879492283,
1188
+ "num_tokens": 2038112.0,
1189
+ "step": 1300
1190
+ },
1191
+ {
1192
+ "epoch": 1.8777339548225171,
1193
+ "grad_norm": 1.8515162467956543,
1194
+ "learning_rate": 3.758967001434721e-05,
1195
+ "loss": 1.4549,
1196
+ "mean_token_accuracy": 0.6883729994297028,
1197
+ "num_tokens": 2053699.0,
1198
+ "step": 1310
1199
+ },
1200
+ {
1201
+ "epoch": 1.8920760129078524,
1202
+ "grad_norm": 1.989882230758667,
1203
+ "learning_rate": 3.711142993782879e-05,
1204
+ "loss": 1.4244,
1205
+ "mean_token_accuracy": 0.7050331614911556,
1206
+ "num_tokens": 2070663.0,
1207
+ "step": 1320
1208
+ },
1209
+ {
1210
+ "epoch": 1.9064180709931875,
1211
+ "grad_norm": 10.000530242919922,
1212
+ "learning_rate": 3.663318986131038e-05,
1213
+ "loss": 1.4198,
1214
+ "mean_token_accuracy": 0.6946797490119934,
1215
+ "num_tokens": 2086286.0,
1216
+ "step": 1330
1217
+ },
1218
+ {
1219
+ "epoch": 1.9207601290785228,
1220
+ "grad_norm": 3.4234516620635986,
1221
+ "learning_rate": 3.615494978479197e-05,
1222
+ "loss": 1.4259,
1223
+ "mean_token_accuracy": 0.700089217722416,
1224
+ "num_tokens": 2102045.0,
1225
+ "step": 1340
1226
+ },
1227
+ {
1228
+ "epoch": 1.935102187163858,
1229
+ "grad_norm": 2.789325714111328,
1230
+ "learning_rate": 3.5676709708273556e-05,
1231
+ "loss": 1.4597,
1232
+ "mean_token_accuracy": 0.6905134588479995,
1233
+ "num_tokens": 2115351.0,
1234
+ "step": 1350
1235
+ },
1236
+ {
1237
+ "epoch": 1.9494442452491931,
1238
+ "grad_norm": 2.9415955543518066,
1239
+ "learning_rate": 3.519846963175514e-05,
1240
+ "loss": 1.4747,
1241
+ "mean_token_accuracy": 0.6978569567203522,
1242
+ "num_tokens": 2131695.0,
1243
+ "step": 1360
1244
+ },
1245
+ {
1246
+ "epoch": 1.9637863033345284,
1247
+ "grad_norm": 2.0069663524627686,
1248
+ "learning_rate": 3.472022955523673e-05,
1249
+ "loss": 1.5132,
1250
+ "mean_token_accuracy": 0.6854235969483853,
1251
+ "num_tokens": 2146911.0,
1252
+ "step": 1370
1253
+ },
1254
+ {
1255
+ "epoch": 1.9781283614198637,
1256
+ "grad_norm": 2.3505399227142334,
1257
+ "learning_rate": 3.4241989478718314e-05,
1258
+ "loss": 1.3899,
1259
+ "mean_token_accuracy": 0.7020819112658501,
1260
+ "num_tokens": 2162164.0,
1261
+ "step": 1380
1262
+ },
1263
+ {
1264
+ "epoch": 1.992470419505199,
1265
+ "grad_norm": 1.4830210208892822,
1266
+ "learning_rate": 3.3763749402199904e-05,
1267
+ "loss": 1.5027,
1268
+ "mean_token_accuracy": 0.6788195565342903,
1269
+ "num_tokens": 2176995.0,
1270
+ "step": 1390
1271
+ },
1272
+ {
1273
+ "epoch": 2.005736823234134,
1274
+ "grad_norm": 2.140188217163086,
1275
+ "learning_rate": 3.328550932568149e-05,
1276
+ "loss": 1.4032,
1277
+ "mean_token_accuracy": 0.693047933481835,
1278
+ "num_tokens": 2190128.0,
1279
+ "step": 1400
1280
+ },
1281
+ {
1282
+ "epoch": 2.020078881319469,
1283
+ "grad_norm": 1.661476492881775,
1284
+ "learning_rate": 3.280726924916308e-05,
1285
+ "loss": 1.4841,
1286
+ "mean_token_accuracy": 0.6926379069685936,
1287
+ "num_tokens": 2205346.0,
1288
+ "step": 1410
1289
+ },
1290
+ {
1291
+ "epoch": 2.0344209394048045,
1292
+ "grad_norm": 2.564972400665283,
1293
+ "learning_rate": 3.232902917264467e-05,
1294
+ "loss": 1.5078,
1295
+ "mean_token_accuracy": 0.6939757362008094,
1296
+ "num_tokens": 2219381.0,
1297
+ "step": 1420
1298
+ },
1299
+ {
1300
+ "epoch": 2.04876299749014,
1301
+ "grad_norm": 4.097690582275391,
1302
+ "learning_rate": 3.185078909612625e-05,
1303
+ "loss": 1.5106,
1304
+ "mean_token_accuracy": 0.69179158359766,
1305
+ "num_tokens": 2236634.0,
1306
+ "step": 1430
1307
+ },
1308
+ {
1309
+ "epoch": 2.063105055575475,
1310
+ "grad_norm": 2.772319793701172,
1311
+ "learning_rate": 3.137254901960784e-05,
1312
+ "loss": 1.5549,
1313
+ "mean_token_accuracy": 0.6739653892815113,
1314
+ "num_tokens": 2253528.0,
1315
+ "step": 1440
1316
+ },
1317
+ {
1318
+ "epoch": 2.0774471136608104,
1319
+ "grad_norm": 1.8374364376068115,
1320
+ "learning_rate": 3.089430894308943e-05,
1321
+ "loss": 1.3455,
1322
+ "mean_token_accuracy": 0.7092796668410302,
1323
+ "num_tokens": 2268239.0,
1324
+ "step": 1450
1325
+ },
1326
+ {
1327
+ "epoch": 2.0917891717461456,
1328
+ "grad_norm": 2.8052825927734375,
1329
+ "learning_rate": 3.0416068866571017e-05,
1330
+ "loss": 1.424,
1331
+ "mean_token_accuracy": 0.6826408110558987,
1332
+ "num_tokens": 2285160.0,
1333
+ "step": 1460
1334
+ },
1335
+ {
1336
+ "epoch": 2.106131229831481,
1337
+ "grad_norm": 1.8539540767669678,
1338
+ "learning_rate": 2.9937828790052607e-05,
1339
+ "loss": 1.397,
1340
+ "mean_token_accuracy": 0.683707358688116,
1341
+ "num_tokens": 2302380.0,
1342
+ "step": 1470
1343
+ },
1344
+ {
1345
+ "epoch": 2.120473287916816,
1346
+ "grad_norm": 2.8811655044555664,
1347
+ "learning_rate": 2.9459588713534197e-05,
1348
+ "loss": 1.4091,
1349
+ "mean_token_accuracy": 0.7010952278971672,
1350
+ "num_tokens": 2316415.0,
1351
+ "step": 1480
1352
+ },
1353
+ {
1354
+ "epoch": 2.1348153460021515,
1355
+ "grad_norm": 1.6305341720581055,
1356
+ "learning_rate": 2.898134863701578e-05,
1357
+ "loss": 1.4301,
1358
+ "mean_token_accuracy": 0.6907539337873458,
1359
+ "num_tokens": 2331973.0,
1360
+ "step": 1490
1361
+ },
1362
+ {
1363
+ "epoch": 2.149157404087487,
1364
+ "grad_norm": 3.8295979499816895,
1365
+ "learning_rate": 2.850310856049737e-05,
1366
+ "loss": 1.4743,
1367
+ "mean_token_accuracy": 0.6858786374330521,
1368
+ "num_tokens": 2347285.0,
1369
+ "step": 1500
1370
+ }
1371
+ ],
1372
+ "logging_steps": 10,
1373
+ "max_steps": 2091,
1374
+ "num_input_tokens_seen": 0,
1375
+ "num_train_epochs": 3,
1376
+ "save_steps": 50,
1377
+ "stateful_callbacks": {
1378
+ "TrainerControl": {
1379
+ "args": {
1380
+ "should_epoch_stop": false,
1381
+ "should_evaluate": false,
1382
+ "should_log": false,
1383
+ "should_save": true,
1384
+ "should_training_stop": false
1385
+ },
1386
+ "attributes": {}
1387
+ }
1388
+ },
1389
+ "total_flos": 4.058431818937344e+16,
1390
+ "train_batch_size": 1,
1391
+ "trial_name": null,
1392
+ "trial_params": null
1393
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d782a6cba415010b430e146b77e364b6a10505649bf5ccf899f0363047557a72
3
+ size 5560