ryanmarten commited on
Commit
a69880d
·
verified ·
1 Parent(s): e85d9c3

End of training

Browse files
Files changed (5) hide show
  1. README.md +2 -1
  2. all_results.json +8 -0
  3. train_results.json +8 -0
  4. trainer_state.json +1610 -0
  5. training_loss.png +0 -0
README.md CHANGED
@@ -4,6 +4,7 @@ license: apache-2.0
4
  base_model: Qwen/Qwen2.5-7B-Instruct
5
  tags:
6
  - llama-factory
 
7
  - generated_from_trainer
8
  model-index:
9
  - name: d1_code_gpt_3k
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # d1_code_gpt_3k
17
 
18
- This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on an unknown dataset.
19
 
20
  ## Model description
21
 
 
4
  base_model: Qwen/Qwen2.5-7B-Instruct
5
  tags:
6
  - llama-factory
7
+ - full
8
  - generated_from_trainer
9
  model-index:
10
  - name: d1_code_gpt_3k
 
16
 
17
  # d1_code_gpt_3k
18
 
19
+ This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the mlfoundations-dev/d1_code_gpt_3k dataset.
20
 
21
  ## Model description
22
 
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.850632911392405,
3
+ "total_flos": 8.569304900394025e+17,
4
+ "train_loss": 0.5346918581053615,
5
+ "train_runtime": 27285.7344,
6
+ "train_samples_per_second": 0.811,
7
+ "train_steps_per_second": 0.008
8
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.850632911392405,
3
+ "total_flos": 8.569304900394025e+17,
4
+ "train_loss": 0.5346918581053615,
5
+ "train_runtime": 27285.7344,
6
+ "train_samples_per_second": 0.811,
7
+ "train_steps_per_second": 0.008
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,1610 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 6.850632911392405,
5
+ "eval_steps": 500,
6
+ "global_step": 224,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.030379746835443037,
13
+ "grad_norm": 6.37221868985156,
14
+ "learning_rate": 8.695652173913044e-07,
15
+ "loss": 1.0264,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.060759493670886074,
20
+ "grad_norm": 6.5034802963479175,
21
+ "learning_rate": 1.7391304347826088e-06,
22
+ "loss": 1.0424,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.09113924050632911,
27
+ "grad_norm": 6.380172477883636,
28
+ "learning_rate": 2.6086956521739132e-06,
29
+ "loss": 1.0317,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.12151898734177215,
34
+ "grad_norm": 5.817576642017238,
35
+ "learning_rate": 3.4782608695652175e-06,
36
+ "loss": 1.0183,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.1518987341772152,
41
+ "grad_norm": 4.401190148605733,
42
+ "learning_rate": 4.347826086956522e-06,
43
+ "loss": 0.9624,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.18227848101265823,
48
+ "grad_norm": 2.7097647034322696,
49
+ "learning_rate": 5.2173913043478265e-06,
50
+ "loss": 0.959,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.21265822784810126,
55
+ "grad_norm": 2.450867089297927,
56
+ "learning_rate": 6.086956521739132e-06,
57
+ "loss": 0.9543,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.2430379746835443,
62
+ "grad_norm": 4.04136120197139,
63
+ "learning_rate": 6.956521739130435e-06,
64
+ "loss": 0.9325,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.27341772151898736,
69
+ "grad_norm": 4.409279955403386,
70
+ "learning_rate": 7.82608695652174e-06,
71
+ "loss": 0.9357,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.3037974683544304,
76
+ "grad_norm": 3.706439164950476,
77
+ "learning_rate": 8.695652173913044e-06,
78
+ "loss": 0.9084,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.3341772151898734,
83
+ "grad_norm": 3.5400094637960513,
84
+ "learning_rate": 9.565217391304349e-06,
85
+ "loss": 0.8941,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.36455696202531646,
90
+ "grad_norm": 2.9424193684317865,
91
+ "learning_rate": 1.0434782608695653e-05,
92
+ "loss": 0.8536,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.3949367088607595,
97
+ "grad_norm": 2.1302467308428508,
98
+ "learning_rate": 1.1304347826086957e-05,
99
+ "loss": 0.8482,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.4253164556962025,
104
+ "grad_norm": 1.481291511968154,
105
+ "learning_rate": 1.2173913043478263e-05,
106
+ "loss": 0.8522,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.45569620253164556,
111
+ "grad_norm": 1.5948371689967598,
112
+ "learning_rate": 1.3043478260869566e-05,
113
+ "loss": 0.8078,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.4860759493670886,
118
+ "grad_norm": 1.3238320150665204,
119
+ "learning_rate": 1.391304347826087e-05,
120
+ "loss": 0.7868,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.5164556962025316,
125
+ "grad_norm": 1.135690386872903,
126
+ "learning_rate": 1.4782608695652174e-05,
127
+ "loss": 0.7968,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.5468354430379747,
132
+ "grad_norm": 1.1319959126772645,
133
+ "learning_rate": 1.565217391304348e-05,
134
+ "loss": 0.785,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.5772151898734177,
139
+ "grad_norm": 0.9567822025036028,
140
+ "learning_rate": 1.6521739130434785e-05,
141
+ "loss": 0.7757,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.6075949367088608,
146
+ "grad_norm": 1.0091484315875876,
147
+ "learning_rate": 1.739130434782609e-05,
148
+ "loss": 0.7549,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.6379746835443038,
153
+ "grad_norm": 1.048072111801254,
154
+ "learning_rate": 1.8260869565217393e-05,
155
+ "loss": 0.7415,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.6683544303797468,
160
+ "grad_norm": 0.9493693220268987,
161
+ "learning_rate": 1.9130434782608697e-05,
162
+ "loss": 0.7361,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.6987341772151898,
167
+ "grad_norm": 0.9262684629013186,
168
+ "learning_rate": 2e-05,
169
+ "loss": 0.7422,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.7291139240506329,
174
+ "grad_norm": 0.8741096470542656,
175
+ "learning_rate": 1.999877856940653e-05,
176
+ "loss": 0.7486,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.759493670886076,
181
+ "grad_norm": 0.7873818311147306,
182
+ "learning_rate": 1.999511457600466e-05,
183
+ "loss": 0.7235,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.789873417721519,
188
+ "grad_norm": 0.6420798721747906,
189
+ "learning_rate": 1.9989008914857115e-05,
190
+ "loss": 0.7188,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.8202531645569621,
195
+ "grad_norm": 0.7203837580063897,
196
+ "learning_rate": 1.998046307749216e-05,
197
+ "loss": 0.7193,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.850632911392405,
202
+ "grad_norm": 0.8500834268635933,
203
+ "learning_rate": 1.9969479151539238e-05,
204
+ "loss": 0.7127,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.8810126582278481,
209
+ "grad_norm": 0.6058389288197817,
210
+ "learning_rate": 1.9956059820218982e-05,
211
+ "loss": 0.7259,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.9113924050632911,
216
+ "grad_norm": 0.7078168051247413,
217
+ "learning_rate": 1.9940208361687762e-05,
218
+ "loss": 0.6921,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.9417721518987342,
223
+ "grad_norm": 0.7015805895369476,
224
+ "learning_rate": 1.9921928648236855e-05,
225
+ "loss": 0.7197,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.9721518987341772,
230
+ "grad_norm": 0.7387848558163191,
231
+ "learning_rate": 1.990122514534651e-05,
232
+ "loss": 0.6959,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 1.010126582278481,
237
+ "grad_norm": 0.5763144897662861,
238
+ "learning_rate": 1.9878102910595097e-05,
239
+ "loss": 0.6832,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 1.040506329113924,
244
+ "grad_norm": 0.6437270212433482,
245
+ "learning_rate": 1.985256759242359e-05,
246
+ "loss": 0.6611,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 1.070886075949367,
251
+ "grad_norm": 0.5953857969572114,
252
+ "learning_rate": 1.982462542875576e-05,
253
+ "loss": 0.6687,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 1.1012658227848102,
258
+ "grad_norm": 0.6001397001527595,
259
+ "learning_rate": 1.979428324547432e-05,
260
+ "loss": 0.6662,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 1.1316455696202532,
265
+ "grad_norm": 0.6353749730621574,
266
+ "learning_rate": 1.9761548454753455e-05,
267
+ "loss": 0.6533,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 1.1620253164556962,
272
+ "grad_norm": 0.5856471519075721,
273
+ "learning_rate": 1.972642905324813e-05,
274
+ "loss": 0.646,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 1.1924050632911392,
279
+ "grad_norm": 0.5360846001231565,
280
+ "learning_rate": 1.9688933620140638e-05,
281
+ "loss": 0.6501,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 1.2227848101265824,
286
+ "grad_norm": 0.5361166895681458,
287
+ "learning_rate": 1.96490713150448e-05,
288
+ "loss": 0.6444,
289
+ "step": 40
290
+ },
291
+ {
292
+ "epoch": 1.2531645569620253,
293
+ "grad_norm": 0.43296430499453425,
294
+ "learning_rate": 1.9606851875768404e-05,
295
+ "loss": 0.6456,
296
+ "step": 41
297
+ },
298
+ {
299
+ "epoch": 1.2835443037974683,
300
+ "grad_norm": 0.526080735366251,
301
+ "learning_rate": 1.956228561593441e-05,
302
+ "loss": 0.6494,
303
+ "step": 42
304
+ },
305
+ {
306
+ "epoch": 1.3139240506329113,
307
+ "grad_norm": 0.4906847188578764,
308
+ "learning_rate": 1.9515383422461457e-05,
309
+ "loss": 0.6527,
310
+ "step": 43
311
+ },
312
+ {
313
+ "epoch": 1.3443037974683545,
314
+ "grad_norm": 0.5680631359585419,
315
+ "learning_rate": 1.9466156752904344e-05,
316
+ "loss": 0.6447,
317
+ "step": 44
318
+ },
319
+ {
320
+ "epoch": 1.3746835443037975,
321
+ "grad_norm": 0.5130133069861942,
322
+ "learning_rate": 1.9414617632655114e-05,
323
+ "loss": 0.6314,
324
+ "step": 45
325
+ },
326
+ {
327
+ "epoch": 1.4050632911392404,
328
+ "grad_norm": 0.47327015900025143,
329
+ "learning_rate": 1.9360778652005416e-05,
330
+ "loss": 0.6304,
331
+ "step": 46
332
+ },
333
+ {
334
+ "epoch": 1.4354430379746836,
335
+ "grad_norm": 0.6242281508405784,
336
+ "learning_rate": 1.9304652963070868e-05,
337
+ "loss": 0.6398,
338
+ "step": 47
339
+ },
340
+ {
341
+ "epoch": 1.4658227848101266,
342
+ "grad_norm": 0.5892904102401884,
343
+ "learning_rate": 1.9246254276578175e-05,
344
+ "loss": 0.6248,
345
+ "step": 48
346
+ },
347
+ {
348
+ "epoch": 1.4962025316455696,
349
+ "grad_norm": 0.6531942163155297,
350
+ "learning_rate": 1.9185596858515797e-05,
351
+ "loss": 0.6404,
352
+ "step": 49
353
+ },
354
+ {
355
+ "epoch": 1.5265822784810128,
356
+ "grad_norm": 0.6483567267386434,
357
+ "learning_rate": 1.9122695526648968e-05,
358
+ "loss": 0.6365,
359
+ "step": 50
360
+ },
361
+ {
362
+ "epoch": 1.5569620253164556,
363
+ "grad_norm": 0.6983956278308369,
364
+ "learning_rate": 1.905756564689991e-05,
365
+ "loss": 0.643,
366
+ "step": 51
367
+ },
368
+ {
369
+ "epoch": 1.5873417721518988,
370
+ "grad_norm": 0.7862995399359736,
371
+ "learning_rate": 1.8990223129594146e-05,
372
+ "loss": 0.6419,
373
+ "step": 52
374
+ },
375
+ {
376
+ "epoch": 1.6177215189873417,
377
+ "grad_norm": 0.5430925229786947,
378
+ "learning_rate": 1.8920684425573865e-05,
379
+ "loss": 0.6324,
380
+ "step": 53
381
+ },
382
+ {
383
+ "epoch": 1.6481012658227847,
384
+ "grad_norm": 0.885437054994622,
385
+ "learning_rate": 1.884896652217917e-05,
386
+ "loss": 0.6356,
387
+ "step": 54
388
+ },
389
+ {
390
+ "epoch": 1.678481012658228,
391
+ "grad_norm": 0.5143264601586393,
392
+ "learning_rate": 1.877508693909831e-05,
393
+ "loss": 0.6333,
394
+ "step": 55
395
+ },
396
+ {
397
+ "epoch": 1.7088607594936709,
398
+ "grad_norm": 0.8076187986221476,
399
+ "learning_rate": 1.8699063724087905e-05,
400
+ "loss": 0.6271,
401
+ "step": 56
402
+ },
403
+ {
404
+ "epoch": 1.7392405063291139,
405
+ "grad_norm": 0.6430936572112902,
406
+ "learning_rate": 1.862091544856407e-05,
407
+ "loss": 0.6277,
408
+ "step": 57
409
+ },
410
+ {
411
+ "epoch": 1.769620253164557,
412
+ "grad_norm": 0.4956450969395412,
413
+ "learning_rate": 1.854066120306571e-05,
414
+ "loss": 0.6035,
415
+ "step": 58
416
+ },
417
+ {
418
+ "epoch": 1.8,
419
+ "grad_norm": 0.4950456942853279,
420
+ "learning_rate": 1.8458320592590976e-05,
421
+ "loss": 0.6386,
422
+ "step": 59
423
+ },
424
+ {
425
+ "epoch": 1.830379746835443,
426
+ "grad_norm": 0.6371116080859314,
427
+ "learning_rate": 1.837391373180801e-05,
428
+ "loss": 0.6229,
429
+ "step": 60
430
+ },
431
+ {
432
+ "epoch": 1.8607594936708862,
433
+ "grad_norm": 0.43714150441878535,
434
+ "learning_rate": 1.8287461240141217e-05,
435
+ "loss": 0.6176,
436
+ "step": 61
437
+ },
438
+ {
439
+ "epoch": 1.891139240506329,
440
+ "grad_norm": 0.6453784990074324,
441
+ "learning_rate": 1.8198984236734246e-05,
442
+ "loss": 0.6077,
443
+ "step": 62
444
+ },
445
+ {
446
+ "epoch": 1.9215189873417722,
447
+ "grad_norm": 0.5570607723349542,
448
+ "learning_rate": 1.8108504335290852e-05,
449
+ "loss": 0.6352,
450
+ "step": 63
451
+ },
452
+ {
453
+ "epoch": 1.9518987341772152,
454
+ "grad_norm": 0.48245224757972355,
455
+ "learning_rate": 1.8016043638794975e-05,
456
+ "loss": 0.637,
457
+ "step": 64
458
+ },
459
+ {
460
+ "epoch": 1.9822784810126581,
461
+ "grad_norm": 0.5721748046329147,
462
+ "learning_rate": 1.7921624734111292e-05,
463
+ "loss": 0.6076,
464
+ "step": 65
465
+ },
466
+ {
467
+ "epoch": 2.020253164556962,
468
+ "grad_norm": 0.5141868421323431,
469
+ "learning_rate": 1.7825270686467567e-05,
470
+ "loss": 0.5894,
471
+ "step": 66
472
+ },
473
+ {
474
+ "epoch": 2.050632911392405,
475
+ "grad_norm": 0.5381266684759717,
476
+ "learning_rate": 1.7727005033820117e-05,
477
+ "loss": 0.5556,
478
+ "step": 67
479
+ },
480
+ {
481
+ "epoch": 2.081012658227848,
482
+ "grad_norm": 0.6016121815074985,
483
+ "learning_rate": 1.762685178110382e-05,
484
+ "loss": 0.5527,
485
+ "step": 68
486
+ },
487
+ {
488
+ "epoch": 2.1113924050632913,
489
+ "grad_norm": 0.6729531958813787,
490
+ "learning_rate": 1.752483539436807e-05,
491
+ "loss": 0.563,
492
+ "step": 69
493
+ },
494
+ {
495
+ "epoch": 2.141772151898734,
496
+ "grad_norm": 0.5102620941806387,
497
+ "learning_rate": 1.7420980794800013e-05,
498
+ "loss": 0.5718,
499
+ "step": 70
500
+ },
501
+ {
502
+ "epoch": 2.1721518987341772,
503
+ "grad_norm": 0.6042146458914103,
504
+ "learning_rate": 1.731531335263669e-05,
505
+ "loss": 0.5608,
506
+ "step": 71
507
+ },
508
+ {
509
+ "epoch": 2.2025316455696204,
510
+ "grad_norm": 0.5894071656765725,
511
+ "learning_rate": 1.720785888096743e-05,
512
+ "loss": 0.5699,
513
+ "step": 72
514
+ },
515
+ {
516
+ "epoch": 2.232911392405063,
517
+ "grad_norm": 0.5775536328227947,
518
+ "learning_rate": 1.7098643629428035e-05,
519
+ "loss": 0.5625,
520
+ "step": 73
521
+ },
522
+ {
523
+ "epoch": 2.2632911392405064,
524
+ "grad_norm": 0.606548495008496,
525
+ "learning_rate": 1.698769427778842e-05,
526
+ "loss": 0.5404,
527
+ "step": 74
528
+ },
529
+ {
530
+ "epoch": 2.293670886075949,
531
+ "grad_norm": 0.6622908431371424,
532
+ "learning_rate": 1.687503792943506e-05,
533
+ "loss": 0.5747,
534
+ "step": 75
535
+ },
536
+ {
537
+ "epoch": 2.3240506329113924,
538
+ "grad_norm": 0.4533766615425194,
539
+ "learning_rate": 1.6760702104750046e-05,
540
+ "loss": 0.5481,
541
+ "step": 76
542
+ },
543
+ {
544
+ "epoch": 2.3544303797468356,
545
+ "grad_norm": 0.4811067517469304,
546
+ "learning_rate": 1.664471473438822e-05,
547
+ "loss": 0.5524,
548
+ "step": 77
549
+ },
550
+ {
551
+ "epoch": 2.3848101265822783,
552
+ "grad_norm": 0.5210479774326526,
553
+ "learning_rate": 1.6527104152454096e-05,
554
+ "loss": 0.5372,
555
+ "step": 78
556
+ },
557
+ {
558
+ "epoch": 2.4151898734177215,
559
+ "grad_norm": 0.546680221442232,
560
+ "learning_rate": 1.6407899089580263e-05,
561
+ "loss": 0.5534,
562
+ "step": 79
563
+ },
564
+ {
565
+ "epoch": 2.4455696202531647,
566
+ "grad_norm": 0.4607636332203975,
567
+ "learning_rate": 1.628712866590885e-05,
568
+ "loss": 0.556,
569
+ "step": 80
570
+ },
571
+ {
572
+ "epoch": 2.4759493670886075,
573
+ "grad_norm": 0.5340360502609477,
574
+ "learning_rate": 1.6164822383977912e-05,
575
+ "loss": 0.5578,
576
+ "step": 81
577
+ },
578
+ {
579
+ "epoch": 2.5063291139240507,
580
+ "grad_norm": 0.4829659674501385,
581
+ "learning_rate": 1.604101012151436e-05,
582
+ "loss": 0.5586,
583
+ "step": 82
584
+ },
585
+ {
586
+ "epoch": 2.536708860759494,
587
+ "grad_norm": 0.5154687639314293,
588
+ "learning_rate": 1.5915722124135227e-05,
589
+ "loss": 0.5456,
590
+ "step": 83
591
+ },
592
+ {
593
+ "epoch": 2.5670886075949366,
594
+ "grad_norm": 0.4828149719193968,
595
+ "learning_rate": 1.5788988997959115e-05,
596
+ "loss": 0.5485,
597
+ "step": 84
598
+ },
599
+ {
600
+ "epoch": 2.59746835443038,
601
+ "grad_norm": 0.49279954192791947,
602
+ "learning_rate": 1.5660841702129533e-05,
603
+ "loss": 0.57,
604
+ "step": 85
605
+ },
606
+ {
607
+ "epoch": 2.6278481012658226,
608
+ "grad_norm": 0.4742602851060561,
609
+ "learning_rate": 1.5531311541251995e-05,
610
+ "loss": 0.5446,
611
+ "step": 86
612
+ },
613
+ {
614
+ "epoch": 2.6582278481012658,
615
+ "grad_norm": 0.46089627282095114,
616
+ "learning_rate": 1.540043015774676e-05,
617
+ "loss": 0.5432,
618
+ "step": 87
619
+ },
620
+ {
621
+ "epoch": 2.688607594936709,
622
+ "grad_norm": 0.5193521045258312,
623
+ "learning_rate": 1.5268229524119007e-05,
624
+ "loss": 0.5526,
625
+ "step": 88
626
+ },
627
+ {
628
+ "epoch": 2.7189873417721517,
629
+ "grad_norm": 0.599090537230937,
630
+ "learning_rate": 1.513474193514842e-05,
631
+ "loss": 0.5387,
632
+ "step": 89
633
+ },
634
+ {
635
+ "epoch": 2.749367088607595,
636
+ "grad_norm": 0.5392240932844506,
637
+ "learning_rate": 1.5000000000000002e-05,
638
+ "loss": 0.5644,
639
+ "step": 90
640
+ },
641
+ {
642
+ "epoch": 2.779746835443038,
643
+ "grad_norm": 0.6484053666330277,
644
+ "learning_rate": 1.4864036634258112e-05,
645
+ "loss": 0.5529,
646
+ "step": 91
647
+ },
648
+ {
649
+ "epoch": 2.810126582278481,
650
+ "grad_norm": 0.49558973661776645,
651
+ "learning_rate": 1.4726885051885654e-05,
652
+ "loss": 0.5574,
653
+ "step": 92
654
+ },
655
+ {
656
+ "epoch": 2.840506329113924,
657
+ "grad_norm": 0.5477713161891372,
658
+ "learning_rate": 1.4588578757110359e-05,
659
+ "loss": 0.5342,
660
+ "step": 93
661
+ },
662
+ {
663
+ "epoch": 2.8708860759493673,
664
+ "grad_norm": 0.5294733295915529,
665
+ "learning_rate": 1.4449151536240167e-05,
666
+ "loss": 0.56,
667
+ "step": 94
668
+ },
669
+ {
670
+ "epoch": 2.90126582278481,
671
+ "grad_norm": 0.4969749891984834,
672
+ "learning_rate": 1.4308637449409705e-05,
673
+ "loss": 0.5594,
674
+ "step": 95
675
+ },
676
+ {
677
+ "epoch": 2.9316455696202532,
678
+ "grad_norm": 0.4381308375079077,
679
+ "learning_rate": 1.4167070822259868e-05,
680
+ "loss": 0.5439,
681
+ "step": 96
682
+ },
683
+ {
684
+ "epoch": 2.962025316455696,
685
+ "grad_norm": 0.4173526948473983,
686
+ "learning_rate": 1.402448623755254e-05,
687
+ "loss": 0.5461,
688
+ "step": 97
689
+ },
690
+ {
691
+ "epoch": 2.992405063291139,
692
+ "grad_norm": 0.4328409092651217,
693
+ "learning_rate": 1.3880918526722497e-05,
694
+ "loss": 0.5489,
695
+ "step": 98
696
+ },
697
+ {
698
+ "epoch": 3.030379746835443,
699
+ "grad_norm": 0.5284467996380835,
700
+ "learning_rate": 1.3736402761368597e-05,
701
+ "loss": 0.5022,
702
+ "step": 99
703
+ },
704
+ {
705
+ "epoch": 3.060759493670886,
706
+ "grad_norm": 0.4698391974283234,
707
+ "learning_rate": 1.3590974244686248e-05,
708
+ "loss": 0.505,
709
+ "step": 100
710
+ },
711
+ {
712
+ "epoch": 3.091139240506329,
713
+ "grad_norm": 0.611188398162724,
714
+ "learning_rate": 1.344466850284333e-05,
715
+ "loss": 0.506,
716
+ "step": 101
717
+ },
718
+ {
719
+ "epoch": 3.1215189873417724,
720
+ "grad_norm": 0.5181870143762257,
721
+ "learning_rate": 1.3297521276301666e-05,
722
+ "loss": 0.5025,
723
+ "step": 102
724
+ },
725
+ {
726
+ "epoch": 3.151898734177215,
727
+ "grad_norm": 0.4746726810844399,
728
+ "learning_rate": 1.3149568511086104e-05,
729
+ "loss": 0.4962,
730
+ "step": 103
731
+ },
732
+ {
733
+ "epoch": 3.1822784810126583,
734
+ "grad_norm": 0.5222598143525973,
735
+ "learning_rate": 1.300084635000341e-05,
736
+ "loss": 0.4861,
737
+ "step": 104
738
+ },
739
+ {
740
+ "epoch": 3.212658227848101,
741
+ "grad_norm": 0.43490644698600855,
742
+ "learning_rate": 1.2851391123813075e-05,
743
+ "loss": 0.4993,
744
+ "step": 105
745
+ },
746
+ {
747
+ "epoch": 3.2430379746835443,
748
+ "grad_norm": 0.4833019704949156,
749
+ "learning_rate": 1.2701239342352223e-05,
750
+ "loss": 0.4633,
751
+ "step": 106
752
+ },
753
+ {
754
+ "epoch": 3.2734177215189875,
755
+ "grad_norm": 0.5030493664394047,
756
+ "learning_rate": 1.2550427685616767e-05,
757
+ "loss": 0.4863,
758
+ "step": 107
759
+ },
760
+ {
761
+ "epoch": 3.3037974683544302,
762
+ "grad_norm": 0.4335113333888567,
763
+ "learning_rate": 1.239899299480098e-05,
764
+ "loss": 0.4799,
765
+ "step": 108
766
+ },
767
+ {
768
+ "epoch": 3.3341772151898734,
769
+ "grad_norm": 0.4771808496390477,
770
+ "learning_rate": 1.2246972263297718e-05,
771
+ "loss": 0.4739,
772
+ "step": 109
773
+ },
774
+ {
775
+ "epoch": 3.3645569620253166,
776
+ "grad_norm": 0.43288468354190207,
777
+ "learning_rate": 1.2094402627661447e-05,
778
+ "loss": 0.4955,
779
+ "step": 110
780
+ },
781
+ {
782
+ "epoch": 3.3949367088607594,
783
+ "grad_norm": 0.3851443193327133,
784
+ "learning_rate": 1.1941321358536278e-05,
785
+ "loss": 0.492,
786
+ "step": 111
787
+ },
788
+ {
789
+ "epoch": 3.4253164556962026,
790
+ "grad_norm": 0.45280439112604726,
791
+ "learning_rate": 1.1787765851551296e-05,
792
+ "loss": 0.4927,
793
+ "step": 112
794
+ },
795
+ {
796
+ "epoch": 3.4556962025316453,
797
+ "grad_norm": 0.3837500484870304,
798
+ "learning_rate": 1.1633773618185302e-05,
799
+ "loss": 0.4912,
800
+ "step": 113
801
+ },
802
+ {
803
+ "epoch": 3.4860759493670885,
804
+ "grad_norm": 0.46258069326812357,
805
+ "learning_rate": 1.14793822766033e-05,
806
+ "loss": 0.506,
807
+ "step": 114
808
+ },
809
+ {
810
+ "epoch": 3.5164556962025317,
811
+ "grad_norm": 0.4067964537702053,
812
+ "learning_rate": 1.132462954246688e-05,
813
+ "loss": 0.4854,
814
+ "step": 115
815
+ },
816
+ {
817
+ "epoch": 3.546835443037975,
818
+ "grad_norm": 0.42990922993772457,
819
+ "learning_rate": 1.1169553219720828e-05,
820
+ "loss": 0.4929,
821
+ "step": 116
822
+ },
823
+ {
824
+ "epoch": 3.5772151898734177,
825
+ "grad_norm": 0.38635348880117143,
826
+ "learning_rate": 1.1014191191358118e-05,
827
+ "loss": 0.4825,
828
+ "step": 117
829
+ },
830
+ {
831
+ "epoch": 3.607594936708861,
832
+ "grad_norm": 0.3870514422615681,
833
+ "learning_rate": 1.085858141016566e-05,
834
+ "loss": 0.4776,
835
+ "step": 118
836
+ },
837
+ {
838
+ "epoch": 3.6379746835443036,
839
+ "grad_norm": 0.3626145330339587,
840
+ "learning_rate": 1.070276188945293e-05,
841
+ "loss": 0.4771,
842
+ "step": 119
843
+ },
844
+ {
845
+ "epoch": 3.668354430379747,
846
+ "grad_norm": 0.43606645169013275,
847
+ "learning_rate": 1.0546770693765859e-05,
848
+ "loss": 0.4893,
849
+ "step": 120
850
+ },
851
+ {
852
+ "epoch": 3.69873417721519,
853
+ "grad_norm": 0.3799921068914223,
854
+ "learning_rate": 1.0390645929588197e-05,
855
+ "loss": 0.482,
856
+ "step": 121
857
+ },
858
+ {
859
+ "epoch": 3.729113924050633,
860
+ "grad_norm": 0.4170885304781762,
861
+ "learning_rate": 1.0234425736032607e-05,
862
+ "loss": 0.4903,
863
+ "step": 122
864
+ },
865
+ {
866
+ "epoch": 3.759493670886076,
867
+ "grad_norm": 0.6975619010340954,
868
+ "learning_rate": 1.007814827552384e-05,
869
+ "loss": 0.4634,
870
+ "step": 123
871
+ },
872
+ {
873
+ "epoch": 3.7898734177215188,
874
+ "grad_norm": 0.40226723349625243,
875
+ "learning_rate": 9.92185172447616e-06,
876
+ "loss": 0.4851,
877
+ "step": 124
878
+ },
879
+ {
880
+ "epoch": 3.820253164556962,
881
+ "grad_norm": 0.3667501915935181,
882
+ "learning_rate": 9.765574263967397e-06,
883
+ "loss": 0.481,
884
+ "step": 125
885
+ },
886
+ {
887
+ "epoch": 3.850632911392405,
888
+ "grad_norm": 0.3697874278619689,
889
+ "learning_rate": 9.609354070411807e-06,
890
+ "loss": 0.4876,
891
+ "step": 126
892
+ },
893
+ {
894
+ "epoch": 3.8810126582278484,
895
+ "grad_norm": 0.357801393234647,
896
+ "learning_rate": 9.453229306234143e-06,
897
+ "loss": 0.4911,
898
+ "step": 127
899
+ },
900
+ {
901
+ "epoch": 3.911392405063291,
902
+ "grad_norm": 0.39163201253823016,
903
+ "learning_rate": 9.297238110547075e-06,
904
+ "loss": 0.4842,
905
+ "step": 128
906
+ },
907
+ {
908
+ "epoch": 3.9417721518987343,
909
+ "grad_norm": 0.3996876113061803,
910
+ "learning_rate": 9.14141858983434e-06,
911
+ "loss": 0.4838,
912
+ "step": 129
913
+ },
914
+ {
915
+ "epoch": 3.972151898734177,
916
+ "grad_norm": 0.35412118410591714,
917
+ "learning_rate": 8.985808808641883e-06,
918
+ "loss": 0.4864,
919
+ "step": 130
920
+ },
921
+ {
922
+ "epoch": 4.010126582278481,
923
+ "grad_norm": 2.067828413495023,
924
+ "learning_rate": 8.830446780279175e-06,
925
+ "loss": 0.4708,
926
+ "step": 131
927
+ },
928
+ {
929
+ "epoch": 4.040506329113924,
930
+ "grad_norm": 0.9152902583926013,
931
+ "learning_rate": 8.675370457533122e-06,
932
+ "loss": 0.4187,
933
+ "step": 132
934
+ },
935
+ {
936
+ "epoch": 4.0708860759493675,
937
+ "grad_norm": 17.35244540703921,
938
+ "learning_rate": 8.520617723396702e-06,
939
+ "loss": 0.4409,
940
+ "step": 133
941
+ },
942
+ {
943
+ "epoch": 4.10126582278481,
944
+ "grad_norm": 1.6577060257645506,
945
+ "learning_rate": 8.366226381814698e-06,
946
+ "loss": 0.4372,
947
+ "step": 134
948
+ },
949
+ {
950
+ "epoch": 4.131645569620253,
951
+ "grad_norm": 0.5280317347872258,
952
+ "learning_rate": 8.212234148448708e-06,
953
+ "loss": 0.4433,
954
+ "step": 135
955
+ },
956
+ {
957
+ "epoch": 4.162025316455696,
958
+ "grad_norm": 0.6688184987684095,
959
+ "learning_rate": 8.058678641463724e-06,
960
+ "loss": 0.4361,
961
+ "step": 136
962
+ },
963
+ {
964
+ "epoch": 4.192405063291139,
965
+ "grad_norm": 1.0058311734202963,
966
+ "learning_rate": 7.905597372338558e-06,
967
+ "loss": 0.4521,
968
+ "step": 137
969
+ },
970
+ {
971
+ "epoch": 4.222784810126583,
972
+ "grad_norm": 0.4461031074464891,
973
+ "learning_rate": 7.753027736702283e-06,
974
+ "loss": 0.4341,
975
+ "step": 138
976
+ },
977
+ {
978
+ "epoch": 4.253164556962025,
979
+ "grad_norm": 0.5391239885653292,
980
+ "learning_rate": 7.601007005199022e-06,
981
+ "loss": 0.4425,
982
+ "step": 139
983
+ },
984
+ {
985
+ "epoch": 4.283544303797468,
986
+ "grad_norm": 0.5301098206506064,
987
+ "learning_rate": 7.449572314383237e-06,
988
+ "loss": 0.4245,
989
+ "step": 140
990
+ },
991
+ {
992
+ "epoch": 4.313924050632911,
993
+ "grad_norm": 0.46623949539660703,
994
+ "learning_rate": 7.298760657647779e-06,
995
+ "loss": 0.4214,
996
+ "step": 141
997
+ },
998
+ {
999
+ "epoch": 4.3443037974683545,
1000
+ "grad_norm": 0.442414367812498,
1001
+ "learning_rate": 7.148608876186931e-06,
1002
+ "loss": 0.4384,
1003
+ "step": 142
1004
+ },
1005
+ {
1006
+ "epoch": 4.374683544303798,
1007
+ "grad_norm": 0.46015866197369026,
1008
+ "learning_rate": 6.999153649996595e-06,
1009
+ "loss": 0.449,
1010
+ "step": 143
1011
+ },
1012
+ {
1013
+ "epoch": 4.405063291139241,
1014
+ "grad_norm": 0.4708636486435107,
1015
+ "learning_rate": 6.8504314889138956e-06,
1016
+ "loss": 0.4205,
1017
+ "step": 144
1018
+ },
1019
+ {
1020
+ "epoch": 4.435443037974683,
1021
+ "grad_norm": 0.3957689916265755,
1022
+ "learning_rate": 6.702478723698336e-06,
1023
+ "loss": 0.4371,
1024
+ "step": 145
1025
+ },
1026
+ {
1027
+ "epoch": 4.465822784810126,
1028
+ "grad_norm": 0.42482708366220556,
1029
+ "learning_rate": 6.555331497156671e-06,
1030
+ "loss": 0.432,
1031
+ "step": 146
1032
+ },
1033
+ {
1034
+ "epoch": 4.49620253164557,
1035
+ "grad_norm": 0.48059851550114396,
1036
+ "learning_rate": 6.4090257553137566e-06,
1037
+ "loss": 0.4462,
1038
+ "step": 147
1039
+ },
1040
+ {
1041
+ "epoch": 4.526582278481013,
1042
+ "grad_norm": 0.3571362661917008,
1043
+ "learning_rate": 6.263597238631405e-06,
1044
+ "loss": 0.4353,
1045
+ "step": 148
1046
+ },
1047
+ {
1048
+ "epoch": 4.556962025316456,
1049
+ "grad_norm": 0.4167219945081819,
1050
+ "learning_rate": 6.119081473277502e-06,
1051
+ "loss": 0.4327,
1052
+ "step": 149
1053
+ },
1054
+ {
1055
+ "epoch": 4.587341772151898,
1056
+ "grad_norm": 0.41818988585067385,
1057
+ "learning_rate": 5.975513762447465e-06,
1058
+ "loss": 0.4427,
1059
+ "step": 150
1060
+ },
1061
+ {
1062
+ "epoch": 4.6177215189873415,
1063
+ "grad_norm": 0.3925674797200369,
1064
+ "learning_rate": 5.832929177740134e-06,
1065
+ "loss": 0.4364,
1066
+ "step": 151
1067
+ },
1068
+ {
1069
+ "epoch": 4.648101265822785,
1070
+ "grad_norm": 0.40374638803129476,
1071
+ "learning_rate": 5.6913625505902966e-06,
1072
+ "loss": 0.4108,
1073
+ "step": 152
1074
+ },
1075
+ {
1076
+ "epoch": 4.678481012658228,
1077
+ "grad_norm": 0.388387880997993,
1078
+ "learning_rate": 5.550848463759835e-06,
1079
+ "loss": 0.427,
1080
+ "step": 153
1081
+ },
1082
+ {
1083
+ "epoch": 4.708860759493671,
1084
+ "grad_norm": 0.3642305851572156,
1085
+ "learning_rate": 5.411421242889643e-06,
1086
+ "loss": 0.4269,
1087
+ "step": 154
1088
+ },
1089
+ {
1090
+ "epoch": 4.739240506329114,
1091
+ "grad_norm": 0.4082645818703638,
1092
+ "learning_rate": 5.273114948114346e-06,
1093
+ "loss": 0.4323,
1094
+ "step": 155
1095
+ },
1096
+ {
1097
+ "epoch": 4.769620253164557,
1098
+ "grad_norm": 0.33785963966215543,
1099
+ "learning_rate": 5.135963365741892e-06,
1100
+ "loss": 0.4384,
1101
+ "step": 156
1102
+ },
1103
+ {
1104
+ "epoch": 4.8,
1105
+ "grad_norm": 0.37611991947395673,
1106
+ "learning_rate": 5.000000000000003e-06,
1107
+ "loss": 0.4337,
1108
+ "step": 157
1109
+ },
1110
+ {
1111
+ "epoch": 4.830379746835443,
1112
+ "grad_norm": 0.35623502983585953,
1113
+ "learning_rate": 4.865258064851579e-06,
1114
+ "loss": 0.4338,
1115
+ "step": 158
1116
+ },
1117
+ {
1118
+ "epoch": 4.860759493670886,
1119
+ "grad_norm": 0.3185465826203866,
1120
+ "learning_rate": 4.731770475880995e-06,
1121
+ "loss": 0.4268,
1122
+ "step": 159
1123
+ },
1124
+ {
1125
+ "epoch": 4.891139240506329,
1126
+ "grad_norm": 0.3568918726471837,
1127
+ "learning_rate": 4.599569842253244e-06,
1128
+ "loss": 0.4289,
1129
+ "step": 160
1130
+ },
1131
+ {
1132
+ "epoch": 4.921518987341772,
1133
+ "grad_norm": 0.3819530518334745,
1134
+ "learning_rate": 4.468688458748006e-06,
1135
+ "loss": 0.4339,
1136
+ "step": 161
1137
+ },
1138
+ {
1139
+ "epoch": 4.951898734177215,
1140
+ "grad_norm": 0.3351594331992901,
1141
+ "learning_rate": 4.339158297870469e-06,
1142
+ "loss": 0.4331,
1143
+ "step": 162
1144
+ },
1145
+ {
1146
+ "epoch": 4.982278481012658,
1147
+ "grad_norm": 0.3021429578703631,
1148
+ "learning_rate": 4.211011002040885e-06,
1149
+ "loss": 0.4234,
1150
+ "step": 163
1151
+ },
1152
+ {
1153
+ "epoch": 5.020253164556962,
1154
+ "grad_norm": 0.4006915974335434,
1155
+ "learning_rate": 4.084277875864776e-06,
1156
+ "loss": 0.4001,
1157
+ "step": 164
1158
+ },
1159
+ {
1160
+ "epoch": 5.050632911392405,
1161
+ "grad_norm": 0.36778820176808397,
1162
+ "learning_rate": 3.958989878485644e-06,
1163
+ "loss": 0.4168,
1164
+ "step": 165
1165
+ },
1166
+ {
1167
+ "epoch": 5.0810126582278485,
1168
+ "grad_norm": 0.32130448433145914,
1169
+ "learning_rate": 3.83517761602209e-06,
1170
+ "loss": 0.4065,
1171
+ "step": 166
1172
+ },
1173
+ {
1174
+ "epoch": 5.111392405063291,
1175
+ "grad_norm": 0.3809966372789622,
1176
+ "learning_rate": 3.712871334091154e-06,
1177
+ "loss": 0.4138,
1178
+ "step": 167
1179
+ },
1180
+ {
1181
+ "epoch": 5.141772151898734,
1182
+ "grad_norm": 0.3772267964660737,
1183
+ "learning_rate": 3.592100910419738e-06,
1184
+ "loss": 0.4033,
1185
+ "step": 168
1186
+ },
1187
+ {
1188
+ "epoch": 5.172151898734177,
1189
+ "grad_norm": 0.3689981910530363,
1190
+ "learning_rate": 3.4728958475459052e-06,
1191
+ "loss": 0.4068,
1192
+ "step": 169
1193
+ },
1194
+ {
1195
+ "epoch": 5.2025316455696204,
1196
+ "grad_norm": 0.35198321548754313,
1197
+ "learning_rate": 3.355285265611784e-06,
1198
+ "loss": 0.3949,
1199
+ "step": 170
1200
+ },
1201
+ {
1202
+ "epoch": 5.232911392405064,
1203
+ "grad_norm": 0.35769710232766566,
1204
+ "learning_rate": 3.2392978952499553e-06,
1205
+ "loss": 0.39,
1206
+ "step": 171
1207
+ },
1208
+ {
1209
+ "epoch": 5.263291139240506,
1210
+ "grad_norm": 0.33611090570761076,
1211
+ "learning_rate": 3.1249620705649417e-06,
1212
+ "loss": 0.4065,
1213
+ "step": 172
1214
+ },
1215
+ {
1216
+ "epoch": 5.293670886075949,
1217
+ "grad_norm": 0.4049939946491654,
1218
+ "learning_rate": 3.0123057222115835e-06,
1219
+ "loss": 0.3778,
1220
+ "step": 173
1221
+ },
1222
+ {
1223
+ "epoch": 5.324050632911392,
1224
+ "grad_norm": 0.3210913930686345,
1225
+ "learning_rate": 2.9013563705719673e-06,
1226
+ "loss": 0.3921,
1227
+ "step": 174
1228
+ },
1229
+ {
1230
+ "epoch": 5.3544303797468356,
1231
+ "grad_norm": 0.3659685382050678,
1232
+ "learning_rate": 2.7921411190325753e-06,
1233
+ "loss": 0.3979,
1234
+ "step": 175
1235
+ },
1236
+ {
1237
+ "epoch": 5.384810126582279,
1238
+ "grad_norm": 0.36117783642633866,
1239
+ "learning_rate": 2.6846866473633126e-06,
1240
+ "loss": 0.4048,
1241
+ "step": 176
1242
+ },
1243
+ {
1244
+ "epoch": 5.415189873417722,
1245
+ "grad_norm": 0.30599384631214477,
1246
+ "learning_rate": 2.579019205199992e-06,
1247
+ "loss": 0.3918,
1248
+ "step": 177
1249
+ },
1250
+ {
1251
+ "epoch": 5.445569620253164,
1252
+ "grad_norm": 0.3158134459858677,
1253
+ "learning_rate": 2.4751646056319334e-06,
1254
+ "loss": 0.3977,
1255
+ "step": 178
1256
+ },
1257
+ {
1258
+ "epoch": 5.4759493670886075,
1259
+ "grad_norm": 0.3415178405429152,
1260
+ "learning_rate": 2.373148218896182e-06,
1261
+ "loss": 0.3941,
1262
+ "step": 179
1263
+ },
1264
+ {
1265
+ "epoch": 5.506329113924051,
1266
+ "grad_norm": 0.34056377810339455,
1267
+ "learning_rate": 2.2729949661798876e-06,
1268
+ "loss": 0.3989,
1269
+ "step": 180
1270
+ },
1271
+ {
1272
+ "epoch": 5.536708860759494,
1273
+ "grad_norm": 0.32197225533734486,
1274
+ "learning_rate": 2.174729313532433e-06,
1275
+ "loss": 0.3915,
1276
+ "step": 181
1277
+ },
1278
+ {
1279
+ "epoch": 5.567088607594937,
1280
+ "grad_norm": 0.32400566343568027,
1281
+ "learning_rate": 2.078375265888707e-06,
1282
+ "loss": 0.3834,
1283
+ "step": 182
1284
+ },
1285
+ {
1286
+ "epoch": 5.597468354430379,
1287
+ "grad_norm": 0.2988437918726148,
1288
+ "learning_rate": 1.9839563612050273e-06,
1289
+ "loss": 0.4048,
1290
+ "step": 183
1291
+ },
1292
+ {
1293
+ "epoch": 5.627848101265823,
1294
+ "grad_norm": 0.3142881945889849,
1295
+ "learning_rate": 1.8914956647091497e-06,
1296
+ "loss": 0.4044,
1297
+ "step": 184
1298
+ },
1299
+ {
1300
+ "epoch": 5.658227848101266,
1301
+ "grad_norm": 0.2912800871138812,
1302
+ "learning_rate": 1.8010157632657544e-06,
1303
+ "loss": 0.3915,
1304
+ "step": 185
1305
+ },
1306
+ {
1307
+ "epoch": 5.688607594936709,
1308
+ "grad_norm": 0.331383445209847,
1309
+ "learning_rate": 1.7125387598587862e-06,
1310
+ "loss": 0.3922,
1311
+ "step": 186
1312
+ },
1313
+ {
1314
+ "epoch": 5.718987341772152,
1315
+ "grad_norm": 0.295340510609225,
1316
+ "learning_rate": 1.6260862681919965e-06,
1317
+ "loss": 0.3803,
1318
+ "step": 187
1319
+ },
1320
+ {
1321
+ "epoch": 5.749367088607595,
1322
+ "grad_norm": 0.2861546159019479,
1323
+ "learning_rate": 1.5416794074090258e-06,
1324
+ "loss": 0.3846,
1325
+ "step": 188
1326
+ },
1327
+ {
1328
+ "epoch": 5.779746835443038,
1329
+ "grad_norm": 0.3026296765652463,
1330
+ "learning_rate": 1.459338796934293e-06,
1331
+ "loss": 0.4177,
1332
+ "step": 189
1333
+ },
1334
+ {
1335
+ "epoch": 5.810126582278481,
1336
+ "grad_norm": 0.2905750515452127,
1337
+ "learning_rate": 1.3790845514359363e-06,
1338
+ "loss": 0.4132,
1339
+ "step": 190
1340
+ },
1341
+ {
1342
+ "epoch": 5.840506329113924,
1343
+ "grad_norm": 0.28908547248165223,
1344
+ "learning_rate": 1.300936275912098e-06,
1345
+ "loss": 0.3877,
1346
+ "step": 191
1347
+ },
1348
+ {
1349
+ "epoch": 5.870886075949367,
1350
+ "grad_norm": 0.3120697859896662,
1351
+ "learning_rate": 1.224913060901688e-06,
1352
+ "loss": 0.3857,
1353
+ "step": 192
1354
+ },
1355
+ {
1356
+ "epoch": 5.9012658227848105,
1357
+ "grad_norm": 0.2681050832298745,
1358
+ "learning_rate": 1.1510334778208332e-06,
1359
+ "loss": 0.3955,
1360
+ "step": 193
1361
+ },
1362
+ {
1363
+ "epoch": 5.931645569620253,
1364
+ "grad_norm": 0.26796636762585163,
1365
+ "learning_rate": 1.0793155744261352e-06,
1366
+ "loss": 0.4222,
1367
+ "step": 194
1368
+ },
1369
+ {
1370
+ "epoch": 5.962025316455696,
1371
+ "grad_norm": 0.28122294877877857,
1372
+ "learning_rate": 1.0097768704058542e-06,
1373
+ "loss": 0.3983,
1374
+ "step": 195
1375
+ },
1376
+ {
1377
+ "epoch": 5.992405063291139,
1378
+ "grad_norm": 0.28084753163815557,
1379
+ "learning_rate": 9.424343531000968e-07,
1380
+ "loss": 0.3781,
1381
+ "step": 196
1382
+ },
1383
+ {
1384
+ "epoch": 6.030379746835443,
1385
+ "grad_norm": 0.3035601235316243,
1386
+ "learning_rate": 8.773044733510338e-07,
1387
+ "loss": 0.3843,
1388
+ "step": 197
1389
+ },
1390
+ {
1391
+ "epoch": 6.060759493670886,
1392
+ "grad_norm": 0.286177647003549,
1393
+ "learning_rate": 8.144031414842012e-07,
1394
+ "loss": 0.3553,
1395
+ "step": 198
1396
+ },
1397
+ {
1398
+ "epoch": 6.091139240506329,
1399
+ "grad_norm": 0.27499257842697156,
1400
+ "learning_rate": 7.537457234218271e-07,
1401
+ "loss": 0.3878,
1402
+ "step": 199
1403
+ },
1404
+ {
1405
+ "epoch": 6.121518987341772,
1406
+ "grad_norm": 0.287831290077759,
1407
+ "learning_rate": 6.953470369291349e-07,
1408
+ "loss": 0.3636,
1409
+ "step": 200
1410
+ },
1411
+ {
1412
+ "epoch": 6.151898734177215,
1413
+ "grad_norm": 0.3270864734675839,
1414
+ "learning_rate": 6.392213479945852e-07,
1415
+ "loss": 0.3976,
1416
+ "step": 201
1417
+ },
1418
+ {
1419
+ "epoch": 6.182278481012658,
1420
+ "grad_norm": 0.2850933541865749,
1421
+ "learning_rate": 5.853823673448877e-07,
1422
+ "loss": 0.4009,
1423
+ "step": 202
1424
+ },
1425
+ {
1426
+ "epoch": 6.2126582278481015,
1427
+ "grad_norm": 0.29495009440796316,
1428
+ "learning_rate": 5.33843247095659e-07,
1429
+ "loss": 0.3956,
1430
+ "step": 203
1431
+ },
1432
+ {
1433
+ "epoch": 6.243037974683545,
1434
+ "grad_norm": 0.26822212764266967,
1435
+ "learning_rate": 4.846165775385459e-07,
1436
+ "loss": 0.3896,
1437
+ "step": 204
1438
+ },
1439
+ {
1440
+ "epoch": 6.273417721518987,
1441
+ "grad_norm": 0.26953773095218353,
1442
+ "learning_rate": 4.3771438406559173e-07,
1443
+ "loss": 0.3782,
1444
+ "step": 205
1445
+ },
1446
+ {
1447
+ "epoch": 6.30379746835443,
1448
+ "grad_norm": 0.26810105671294315,
1449
+ "learning_rate": 3.931481242315993e-07,
1450
+ "loss": 0.3892,
1451
+ "step": 206
1452
+ },
1453
+ {
1454
+ "epoch": 6.334177215189873,
1455
+ "grad_norm": 0.2950226684361474,
1456
+ "learning_rate": 3.5092868495520294e-07,
1457
+ "loss": 0.3807,
1458
+ "step": 207
1459
+ },
1460
+ {
1461
+ "epoch": 6.364556962025317,
1462
+ "grad_norm": 0.2681133556168342,
1463
+ "learning_rate": 3.110663798593616e-07,
1464
+ "loss": 0.3988,
1465
+ "step": 208
1466
+ },
1467
+ {
1468
+ "epoch": 6.39493670886076,
1469
+ "grad_norm": 0.2670123595381677,
1470
+ "learning_rate": 2.735709467518699e-07,
1471
+ "loss": 0.3737,
1472
+ "step": 209
1473
+ },
1474
+ {
1475
+ "epoch": 6.425316455696202,
1476
+ "grad_norm": 0.2631719335348355,
1477
+ "learning_rate": 2.384515452465475e-07,
1478
+ "loss": 0.3674,
1479
+ "step": 210
1480
+ },
1481
+ {
1482
+ "epoch": 6.455696202531645,
1483
+ "grad_norm": 0.2654377798436416,
1484
+ "learning_rate": 2.0571675452567997e-07,
1485
+ "loss": 0.3816,
1486
+ "step": 211
1487
+ },
1488
+ {
1489
+ "epoch": 6.4860759493670885,
1490
+ "grad_norm": 0.2741124110494854,
1491
+ "learning_rate": 1.7537457124423896e-07,
1492
+ "loss": 0.3987,
1493
+ "step": 212
1494
+ },
1495
+ {
1496
+ "epoch": 6.516455696202532,
1497
+ "grad_norm": 0.2558742486931433,
1498
+ "learning_rate": 1.474324075764111e-07,
1499
+ "loss": 0.3914,
1500
+ "step": 213
1501
+ },
1502
+ {
1503
+ "epoch": 6.546835443037975,
1504
+ "grad_norm": 0.2626289255712206,
1505
+ "learning_rate": 1.2189708940490653e-07,
1506
+ "loss": 0.3719,
1507
+ "step": 214
1508
+ },
1509
+ {
1510
+ "epoch": 6.577215189873417,
1511
+ "grad_norm": 0.2576213975257158,
1512
+ "learning_rate": 9.877485465349057e-08,
1513
+ "loss": 0.382,
1514
+ "step": 215
1515
+ },
1516
+ {
1517
+ "epoch": 6.6075949367088604,
1518
+ "grad_norm": 0.25520510038953714,
1519
+ "learning_rate": 7.807135176314707e-08,
1520
+ "loss": 0.3755,
1521
+ "step": 216
1522
+ },
1523
+ {
1524
+ "epoch": 6.637974683544304,
1525
+ "grad_norm": 0.26587236188019,
1526
+ "learning_rate": 5.979163831223988e-08,
1527
+ "loss": 0.4008,
1528
+ "step": 217
1529
+ },
1530
+ {
1531
+ "epoch": 6.668354430379747,
1532
+ "grad_norm": 0.2643841861061346,
1533
+ "learning_rate": 4.394017978101905e-08,
1534
+ "loss": 0.3581,
1535
+ "step": 218
1536
+ },
1537
+ {
1538
+ "epoch": 6.69873417721519,
1539
+ "grad_norm": 0.26560598833713933,
1540
+ "learning_rate": 3.0520848460765525e-08,
1541
+ "loss": 0.3832,
1542
+ "step": 219
1543
+ },
1544
+ {
1545
+ "epoch": 6.729113924050633,
1546
+ "grad_norm": 0.2619146192545906,
1547
+ "learning_rate": 1.9536922507841227e-08,
1548
+ "loss": 0.3856,
1549
+ "step": 220
1550
+ },
1551
+ {
1552
+ "epoch": 6.759493670886076,
1553
+ "grad_norm": 0.2779962742950057,
1554
+ "learning_rate": 1.099108514288627e-08,
1555
+ "loss": 0.3657,
1556
+ "step": 221
1557
+ },
1558
+ {
1559
+ "epoch": 6.789873417721519,
1560
+ "grad_norm": 0.25682917386508564,
1561
+ "learning_rate": 4.885423995341088e-09,
1562
+ "loss": 0.3704,
1563
+ "step": 222
1564
+ },
1565
+ {
1566
+ "epoch": 6.820253164556962,
1567
+ "grad_norm": 0.2684109452017263,
1568
+ "learning_rate": 1.2214305934699078e-09,
1569
+ "loss": 0.372,
1570
+ "step": 223
1571
+ },
1572
+ {
1573
+ "epoch": 6.850632911392405,
1574
+ "grad_norm": 0.25032280703356524,
1575
+ "learning_rate": 0.0,
1576
+ "loss": 0.3908,
1577
+ "step": 224
1578
+ },
1579
+ {
1580
+ "epoch": 6.850632911392405,
1581
+ "step": 224,
1582
+ "total_flos": 8.569304900394025e+17,
1583
+ "train_loss": 0.5346918581053615,
1584
+ "train_runtime": 27285.7344,
1585
+ "train_samples_per_second": 0.811,
1586
+ "train_steps_per_second": 0.008
1587
+ }
1588
+ ],
1589
+ "logging_steps": 1,
1590
+ "max_steps": 224,
1591
+ "num_input_tokens_seen": 0,
1592
+ "num_train_epochs": 7,
1593
+ "save_steps": 500,
1594
+ "stateful_callbacks": {
1595
+ "TrainerControl": {
1596
+ "args": {
1597
+ "should_epoch_stop": false,
1598
+ "should_evaluate": false,
1599
+ "should_log": false,
1600
+ "should_save": true,
1601
+ "should_training_stop": true
1602
+ },
1603
+ "attributes": {}
1604
+ }
1605
+ },
1606
+ "total_flos": 8.569304900394025e+17,
1607
+ "train_batch_size": 1,
1608
+ "trial_name": null,
1609
+ "trial_params": null
1610
+ }
training_loss.png ADDED