HaileyJu commited on
Commit
3013114
1 Parent(s): 228d6d3

End of training

Browse files
Files changed (4) hide show
  1. README.md +2 -2
  2. all_results.json +6 -6
  3. test_results.json +6 -6
  4. trainer_state.json +1109 -96
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 2.8332
21
- - Accuracy: 0.6078
22
 
23
  ## Model description
24
 
 
17
 
18
  This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 1.8346
21
+ - Accuracy: 0.6275
22
 
23
  ## Model description
24
 
all_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
- "epoch": 9.1,
3
- "eval_accuracy": 1.0,
4
- "eval_loss": 0.495527982711792,
5
- "eval_runtime": 4.8094,
6
- "eval_samples_per_second": 0.416,
7
- "eval_steps_per_second": 0.416
8
  }
 
1
  {
2
+ "epoch": 29.01,
3
+ "eval_accuracy": 0.6274509803921569,
4
+ "eval_loss": 1.834560751914978,
5
+ "eval_runtime": 132.9753,
6
+ "eval_samples_per_second": 0.384,
7
+ "eval_steps_per_second": 0.196
8
  }
test_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
- "epoch": 9.1,
3
- "eval_accuracy": 1.0,
4
- "eval_loss": 0.495527982711792,
5
- "eval_runtime": 4.8094,
6
- "eval_samples_per_second": 0.416,
7
- "eval_steps_per_second": 0.416
8
  }
 
1
  {
2
+ "epoch": 29.01,
3
+ "eval_accuracy": 0.6274509803921569,
4
+ "eval_loss": 1.834560751914978,
5
+ "eval_runtime": 132.9753,
6
+ "eval_samples_per_second": 0.384,
7
+ "eval_steps_per_second": 0.196
8
  }
trainer_state.json CHANGED
@@ -1,136 +1,1149 @@
1
  {
2
- "best_metric": 1.0,
3
- "best_model_checkpoint": "videomae-base-finetuned-ucf101-subset-SBDtoy/checkpoint-6",
4
- "epoch": 9.1,
5
- "global_step": 20,
 
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
9
  "log_history": [
10
  {
11
- "epoch": 0.1,
12
- "eval_accuracy": 0.5,
13
- "eval_loss": 0.6590014696121216,
14
- "eval_runtime": 4.5937,
15
- "eval_samples_per_second": 0.435,
16
- "eval_steps_per_second": 0.435,
17
- "step": 2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
18
  },
19
  {
20
- "epoch": 1.1,
21
- "eval_accuracy": 0.5,
22
- "eval_loss": 0.5487387776374817,
23
- "eval_runtime": 4.2064,
24
- "eval_samples_per_second": 0.475,
25
- "eval_steps_per_second": 0.475,
26
- "step": 4
27
  },
28
  {
29
- "epoch": 2.1,
30
- "eval_accuracy": 1.0,
31
- "eval_loss": 0.495527982711792,
32
- "eval_runtime": 4.8671,
33
- "eval_samples_per_second": 0.411,
34
- "eval_steps_per_second": 0.411,
35
- "step": 6
36
  },
37
  {
38
- "epoch": 3.1,
39
- "eval_accuracy": 0.5,
40
- "eval_loss": 0.5463187098503113,
41
- "eval_runtime": 4.4465,
42
- "eval_samples_per_second": 0.45,
43
- "eval_steps_per_second": 0.45,
44
- "step": 8
45
  },
46
  {
47
- "epoch": 4.1,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
48
  "learning_rate": 2.777777777777778e-05,
49
- "loss": 0.4651,
50
- "step": 10
51
  },
52
  {
53
- "epoch": 4.1,
54
- "eval_accuracy": 0.5,
55
- "eval_loss": 0.5728206634521484,
56
- "eval_runtime": 4.8812,
57
- "eval_samples_per_second": 0.41,
58
- "eval_steps_per_second": 0.41,
59
- "step": 10
60
  },
61
  {
62
- "epoch": 5.1,
63
- "eval_accuracy": 0.5,
64
- "eval_loss": 0.5635135173797607,
65
- "eval_runtime": 4.1811,
66
- "eval_samples_per_second": 0.478,
67
- "eval_steps_per_second": 0.478,
68
- "step": 12
69
  },
70
  {
71
- "epoch": 6.1,
72
- "eval_accuracy": 0.5,
73
- "eval_loss": 0.6039651036262512,
74
- "eval_runtime": 4.5568,
75
- "eval_samples_per_second": 0.439,
76
- "eval_steps_per_second": 0.439,
77
- "step": 14
78
  },
79
  {
80
- "epoch": 7.1,
81
- "eval_accuracy": 0.5,
82
- "eval_loss": 0.6417381763458252,
83
- "eval_runtime": 4.1268,
84
- "eval_samples_per_second": 0.485,
85
- "eval_steps_per_second": 0.485,
86
- "step": 16
87
  },
88
  {
89
- "epoch": 8.1,
90
- "eval_accuracy": 0.5,
91
- "eval_loss": 0.6530583500862122,
92
- "eval_runtime": 4.4257,
93
- "eval_samples_per_second": 0.452,
94
- "eval_steps_per_second": 0.452,
95
- "step": 18
96
  },
97
  {
98
- "epoch": 9.1,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
99
  "learning_rate": 0.0,
100
- "loss": 0.122,
101
- "step": 20
102
  },
103
  {
104
- "epoch": 9.1,
105
- "eval_accuracy": 0.5,
106
- "eval_loss": 0.6686117649078369,
107
- "eval_runtime": 4.2322,
108
- "eval_samples_per_second": 0.473,
109
- "eval_steps_per_second": 0.473,
110
- "step": 20
111
  },
112
  {
113
- "epoch": 9.1,
114
- "step": 20,
115
- "total_flos": 2.492129178943488e+16,
116
- "train_loss": 0.2935513317584991,
117
- "train_runtime": 388.5356,
118
- "train_samples_per_second": 0.051,
119
- "train_steps_per_second": 0.051
120
  },
121
  {
122
- "epoch": 9.1,
123
- "eval_accuracy": 1.0,
124
- "eval_loss": 0.495527982711792,
125
- "eval_runtime": 4.8094,
126
- "eval_samples_per_second": 0.416,
127
- "eval_steps_per_second": 0.416,
128
- "step": 20
129
  }
130
  ],
131
- "max_steps": 20,
 
 
132
  "num_train_epochs": 9223372036854775807,
133
- "total_flos": 2.492129178943488e+16,
 
 
134
  "trial_name": null,
135
  "trial_params": null
136
  }
 
1
  {
2
+ "best_metric": 0.6274509803921569,
3
+ "best_model_checkpoint": "/users/hailey/code/03_code/SBD_ai/videomae-base-finetuned-ucf101-subset-SBDtoy/checkpoint-492",
4
+ "epoch": 29.009166666666665,
5
+ "eval_steps": 500,
6
+ "global_step": 1200,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
+ "epoch": 0.01,
13
+ "grad_norm": 8.483016014099121,
14
+ "learning_rate": 4.166666666666667e-06,
15
+ "loss": 0.8897,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.02,
20
+ "grad_norm": 10.62829303741455,
21
+ "learning_rate": 8.333333333333334e-06,
22
+ "loss": 0.7501,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.03,
27
+ "grad_norm": 10.224696159362793,
28
+ "learning_rate": 1.25e-05,
29
+ "loss": 0.6748,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.03,
34
+ "grad_norm": 5.6519365310668945,
35
+ "learning_rate": 1.6666666666666667e-05,
36
+ "loss": 0.7634,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.03,
41
+ "eval_accuracy": 0.5882352941176471,
42
+ "eval_loss": 0.6320443153381348,
43
+ "eval_runtime": 137.732,
44
+ "eval_samples_per_second": 0.37,
45
+ "eval_steps_per_second": 0.189,
46
+ "step": 41
47
+ },
48
+ {
49
+ "epoch": 1.01,
50
+ "grad_norm": 8.263680458068848,
51
+ "learning_rate": 2.0833333333333336e-05,
52
+ "loss": 0.7384,
53
+ "step": 50
54
+ },
55
+ {
56
+ "epoch": 1.02,
57
+ "grad_norm": 9.806657791137695,
58
+ "learning_rate": 2.5e-05,
59
+ "loss": 0.6558,
60
+ "step": 60
61
+ },
62
+ {
63
+ "epoch": 1.02,
64
+ "grad_norm": 4.578342437744141,
65
+ "learning_rate": 2.916666666666667e-05,
66
+ "loss": 0.569,
67
+ "step": 70
68
+ },
69
+ {
70
+ "epoch": 1.03,
71
+ "grad_norm": 1.7302507162094116,
72
+ "learning_rate": 3.3333333333333335e-05,
73
+ "loss": 0.7445,
74
+ "step": 80
75
+ },
76
+ {
77
+ "epoch": 1.03,
78
+ "eval_accuracy": 0.5686274509803921,
79
+ "eval_loss": 1.4197746515274048,
80
+ "eval_runtime": 132.2118,
81
+ "eval_samples_per_second": 0.386,
82
+ "eval_steps_per_second": 0.197,
83
+ "step": 82
84
+ },
85
+ {
86
+ "epoch": 2.01,
87
+ "grad_norm": 29.237693786621094,
88
+ "learning_rate": 3.7500000000000003e-05,
89
+ "loss": 0.7204,
90
+ "step": 90
91
+ },
92
+ {
93
+ "epoch": 2.02,
94
+ "grad_norm": 3.5326147079467773,
95
+ "learning_rate": 4.166666666666667e-05,
96
+ "loss": 1.7924,
97
+ "step": 100
98
+ },
99
+ {
100
+ "epoch": 2.02,
101
+ "grad_norm": 10.499820709228516,
102
+ "learning_rate": 4.5833333333333334e-05,
103
+ "loss": 0.6213,
104
+ "step": 110
105
+ },
106
+ {
107
+ "epoch": 2.03,
108
+ "grad_norm": 6.973377227783203,
109
+ "learning_rate": 5e-05,
110
+ "loss": 0.4931,
111
+ "step": 120
112
+ },
113
+ {
114
+ "epoch": 2.03,
115
+ "eval_accuracy": 0.5686274509803921,
116
+ "eval_loss": 1.3688796758651733,
117
+ "eval_runtime": 132.0446,
118
+ "eval_samples_per_second": 0.386,
119
+ "eval_steps_per_second": 0.197,
120
+ "step": 123
121
+ },
122
+ {
123
+ "epoch": 3.01,
124
+ "grad_norm": 24.18391990661621,
125
+ "learning_rate": 4.9537037037037035e-05,
126
+ "loss": 0.6786,
127
+ "step": 130
128
+ },
129
+ {
130
+ "epoch": 3.01,
131
+ "grad_norm": 19.578279495239258,
132
+ "learning_rate": 4.9074074074074075e-05,
133
+ "loss": 0.597,
134
+ "step": 140
135
+ },
136
+ {
137
+ "epoch": 3.02,
138
+ "grad_norm": 0.4028966724872589,
139
+ "learning_rate": 4.8611111111111115e-05,
140
+ "loss": 0.7246,
141
+ "step": 150
142
+ },
143
+ {
144
+ "epoch": 3.03,
145
+ "grad_norm": 29.119096755981445,
146
+ "learning_rate": 4.814814814814815e-05,
147
+ "loss": 0.7206,
148
+ "step": 160
149
+ },
150
+ {
151
+ "epoch": 3.03,
152
+ "eval_accuracy": 0.5882352941176471,
153
+ "eval_loss": 1.328170657157898,
154
+ "eval_runtime": 134.48,
155
+ "eval_samples_per_second": 0.379,
156
+ "eval_steps_per_second": 0.193,
157
+ "step": 164
158
+ },
159
+ {
160
+ "epoch": 4.0,
161
+ "grad_norm": 4.413028717041016,
162
+ "learning_rate": 4.768518518518519e-05,
163
+ "loss": 0.6192,
164
+ "step": 170
165
+ },
166
+ {
167
+ "epoch": 4.01,
168
+ "grad_norm": 0.44842419028282166,
169
+ "learning_rate": 4.722222222222222e-05,
170
+ "loss": 0.3903,
171
+ "step": 180
172
+ },
173
+ {
174
+ "epoch": 4.02,
175
+ "grad_norm": 9.306065559387207,
176
+ "learning_rate": 4.675925925925926e-05,
177
+ "loss": 0.7218,
178
+ "step": 190
179
+ },
180
+ {
181
+ "epoch": 4.03,
182
+ "grad_norm": 52.77680587768555,
183
+ "learning_rate": 4.62962962962963e-05,
184
+ "loss": 0.735,
185
+ "step": 200
186
+ },
187
+ {
188
+ "epoch": 4.03,
189
+ "eval_accuracy": 0.5686274509803921,
190
+ "eval_loss": 2.0849499702453613,
191
+ "eval_runtime": 132.8084,
192
+ "eval_samples_per_second": 0.384,
193
+ "eval_steps_per_second": 0.196,
194
+ "step": 205
195
+ },
196
+ {
197
+ "epoch": 5.0,
198
+ "grad_norm": 20.23072624206543,
199
+ "learning_rate": 4.5833333333333334e-05,
200
+ "loss": 0.9199,
201
+ "step": 210
202
+ },
203
+ {
204
+ "epoch": 5.01,
205
+ "grad_norm": 3.353752613067627,
206
+ "learning_rate": 4.5370370370370374e-05,
207
+ "loss": 0.4171,
208
+ "step": 220
209
+ },
210
+ {
211
+ "epoch": 5.02,
212
+ "grad_norm": 0.07062011957168579,
213
+ "learning_rate": 4.490740740740741e-05,
214
+ "loss": 0.1716,
215
+ "step": 230
216
+ },
217
+ {
218
+ "epoch": 5.03,
219
+ "grad_norm": 17.275123596191406,
220
+ "learning_rate": 4.4444444444444447e-05,
221
+ "loss": 1.769,
222
+ "step": 240
223
+ },
224
+ {
225
+ "epoch": 5.03,
226
+ "eval_accuracy": 0.6078431372549019,
227
+ "eval_loss": 1.0332462787628174,
228
+ "eval_runtime": 141.0066,
229
+ "eval_samples_per_second": 0.362,
230
+ "eval_steps_per_second": 0.184,
231
+ "step": 246
232
+ },
233
+ {
234
+ "epoch": 6.0,
235
+ "grad_norm": 1.1296720504760742,
236
+ "learning_rate": 4.3981481481481486e-05,
237
+ "loss": 0.4991,
238
+ "step": 250
239
+ },
240
+ {
241
+ "epoch": 6.01,
242
+ "grad_norm": 0.18362000584602356,
243
+ "learning_rate": 4.351851851851852e-05,
244
+ "loss": 0.4565,
245
+ "step": 260
246
+ },
247
+ {
248
+ "epoch": 6.02,
249
+ "grad_norm": 9.544737815856934,
250
+ "learning_rate": 4.305555555555556e-05,
251
+ "loss": 1.5794,
252
+ "step": 270
253
+ },
254
+ {
255
+ "epoch": 6.03,
256
+ "grad_norm": 9.105454444885254,
257
+ "learning_rate": 4.259259259259259e-05,
258
+ "loss": 0.9494,
259
+ "step": 280
260
+ },
261
+ {
262
+ "epoch": 6.03,
263
+ "eval_accuracy": 0.6078431372549019,
264
+ "eval_loss": 2.130749464035034,
265
+ "eval_runtime": 147.5482,
266
+ "eval_samples_per_second": 0.346,
267
+ "eval_steps_per_second": 0.176,
268
+ "step": 287
269
+ },
270
+ {
271
+ "epoch": 7.0,
272
+ "grad_norm": 1.585872769355774,
273
+ "learning_rate": 4.212962962962963e-05,
274
+ "loss": 0.3491,
275
+ "step": 290
276
+ },
277
+ {
278
+ "epoch": 7.01,
279
+ "grad_norm": 6.12731409072876,
280
+ "learning_rate": 4.166666666666667e-05,
281
+ "loss": 0.5312,
282
+ "step": 300
283
+ },
284
+ {
285
+ "epoch": 7.02,
286
+ "grad_norm": 20.4097957611084,
287
+ "learning_rate": 4.1203703703703705e-05,
288
+ "loss": 0.6494,
289
+ "step": 310
290
+ },
291
+ {
292
+ "epoch": 7.03,
293
+ "grad_norm": 1.075332522392273,
294
+ "learning_rate": 4.074074074074074e-05,
295
+ "loss": 0.3857,
296
+ "step": 320
297
+ },
298
+ {
299
+ "epoch": 7.03,
300
+ "eval_accuracy": 0.6078431372549019,
301
+ "eval_loss": 2.598536252975464,
302
+ "eval_runtime": 141.9381,
303
+ "eval_samples_per_second": 0.359,
304
+ "eval_steps_per_second": 0.183,
305
+ "step": 328
306
+ },
307
+ {
308
+ "epoch": 8.0,
309
+ "grad_norm": 0.12138959765434265,
310
+ "learning_rate": 4.027777777777778e-05,
311
+ "loss": 0.8439,
312
+ "step": 330
313
+ },
314
+ {
315
+ "epoch": 8.01,
316
+ "grad_norm": 68.02975463867188,
317
+ "learning_rate": 3.981481481481482e-05,
318
+ "loss": 0.8624,
319
+ "step": 340
320
+ },
321
+ {
322
+ "epoch": 8.02,
323
+ "grad_norm": 0.4764052927494049,
324
+ "learning_rate": 3.935185185185186e-05,
325
+ "loss": 0.3225,
326
+ "step": 350
327
+ },
328
+ {
329
+ "epoch": 8.03,
330
+ "grad_norm": 1.0622520446777344,
331
+ "learning_rate": 3.888888888888889e-05,
332
+ "loss": 0.3639,
333
+ "step": 360
334
+ },
335
+ {
336
+ "epoch": 8.03,
337
+ "eval_accuracy": 0.6078431372549019,
338
+ "eval_loss": 2.2299933433532715,
339
+ "eval_runtime": 147.3983,
340
+ "eval_samples_per_second": 0.346,
341
+ "eval_steps_per_second": 0.176,
342
+ "step": 369
343
+ },
344
+ {
345
+ "epoch": 9.0,
346
+ "grad_norm": 24.868986129760742,
347
+ "learning_rate": 3.8425925925925924e-05,
348
+ "loss": 0.6411,
349
+ "step": 370
350
+ },
351
+ {
352
+ "epoch": 9.01,
353
+ "grad_norm": 0.08051346242427826,
354
+ "learning_rate": 3.7962962962962964e-05,
355
+ "loss": 0.2678,
356
+ "step": 380
357
+ },
358
+ {
359
+ "epoch": 9.02,
360
+ "grad_norm": 14.524049758911133,
361
+ "learning_rate": 3.7500000000000003e-05,
362
+ "loss": 1.1313,
363
+ "step": 390
364
+ },
365
+ {
366
+ "epoch": 9.03,
367
+ "grad_norm": 5.631989479064941,
368
+ "learning_rate": 3.7037037037037037e-05,
369
+ "loss": 0.7205,
370
+ "step": 400
371
  },
372
  {
373
+ "epoch": 9.03,
374
+ "grad_norm": 0.37318071722984314,
375
+ "learning_rate": 3.6574074074074076e-05,
376
+ "loss": 0.6456,
377
+ "step": 410
 
 
378
  },
379
  {
380
+ "epoch": 9.03,
381
+ "eval_accuracy": 0.6078431372549019,
382
+ "eval_loss": 1.8992350101470947,
383
+ "eval_runtime": 135.9679,
384
+ "eval_samples_per_second": 0.375,
385
+ "eval_steps_per_second": 0.191,
386
+ "step": 410
387
  },
388
  {
389
+ "epoch": 10.01,
390
+ "grad_norm": 0.06262947618961334,
391
+ "learning_rate": 3.611111111111111e-05,
392
+ "loss": 0.331,
393
+ "step": 420
 
 
394
  },
395
  {
396
+ "epoch": 10.02,
397
+ "grad_norm": 0.16807079315185547,
398
+ "learning_rate": 3.564814814814815e-05,
399
+ "loss": 0.4851,
400
+ "step": 430
401
+ },
402
+ {
403
+ "epoch": 10.03,
404
+ "grad_norm": 0.23209631443023682,
405
+ "learning_rate": 3.518518518518519e-05,
406
+ "loss": 0.6103,
407
+ "step": 440
408
+ },
409
+ {
410
+ "epoch": 10.03,
411
+ "grad_norm": 0.20488207042217255,
412
+ "learning_rate": 3.472222222222222e-05,
413
+ "loss": 0.9483,
414
+ "step": 450
415
+ },
416
+ {
417
+ "epoch": 10.03,
418
+ "eval_accuracy": 0.6078431372549019,
419
+ "eval_loss": 1.955637812614441,
420
+ "eval_runtime": 130.9716,
421
+ "eval_samples_per_second": 0.389,
422
+ "eval_steps_per_second": 0.199,
423
+ "step": 451
424
+ },
425
+ {
426
+ "epoch": 11.01,
427
+ "grad_norm": 42.45355987548828,
428
+ "learning_rate": 3.425925925925926e-05,
429
+ "loss": 0.3743,
430
+ "step": 460
431
+ },
432
+ {
433
+ "epoch": 11.02,
434
+ "grad_norm": 0.16700521111488342,
435
+ "learning_rate": 3.3796296296296295e-05,
436
+ "loss": 0.368,
437
+ "step": 470
438
+ },
439
+ {
440
+ "epoch": 11.02,
441
+ "grad_norm": 1.189526915550232,
442
+ "learning_rate": 3.3333333333333335e-05,
443
+ "loss": 0.8548,
444
+ "step": 480
445
+ },
446
+ {
447
+ "epoch": 11.03,
448
+ "grad_norm": 23.483234405517578,
449
+ "learning_rate": 3.2870370370370375e-05,
450
+ "loss": 0.4518,
451
+ "step": 490
452
+ },
453
+ {
454
+ "epoch": 11.03,
455
+ "eval_accuracy": 0.6274509803921569,
456
+ "eval_loss": 1.834560751914978,
457
+ "eval_runtime": 139.8695,
458
+ "eval_samples_per_second": 0.365,
459
+ "eval_steps_per_second": 0.186,
460
+ "step": 492
461
+ },
462
+ {
463
+ "epoch": 12.01,
464
+ "grad_norm": 14.332037925720215,
465
+ "learning_rate": 3.240740740740741e-05,
466
+ "loss": 0.3553,
467
+ "step": 500
468
+ },
469
+ {
470
+ "epoch": 12.02,
471
+ "grad_norm": 0.2652936279773712,
472
+ "learning_rate": 3.194444444444444e-05,
473
+ "loss": 0.3726,
474
+ "step": 510
475
+ },
476
+ {
477
+ "epoch": 12.02,
478
+ "grad_norm": 0.1738712340593338,
479
+ "learning_rate": 3.148148148148148e-05,
480
+ "loss": 0.4627,
481
+ "step": 520
482
+ },
483
+ {
484
+ "epoch": 12.03,
485
+ "grad_norm": 16.079055786132812,
486
+ "learning_rate": 3.101851851851852e-05,
487
+ "loss": 0.9109,
488
+ "step": 530
489
+ },
490
+ {
491
+ "epoch": 12.03,
492
+ "eval_accuracy": 0.6078431372549019,
493
+ "eval_loss": 1.993680477142334,
494
+ "eval_runtime": 138.9405,
495
+ "eval_samples_per_second": 0.367,
496
+ "eval_steps_per_second": 0.187,
497
+ "step": 533
498
+ },
499
+ {
500
+ "epoch": 13.01,
501
+ "grad_norm": 0.2999970018863678,
502
+ "learning_rate": 3.055555555555556e-05,
503
+ "loss": 0.1598,
504
+ "step": 540
505
+ },
506
+ {
507
+ "epoch": 13.01,
508
+ "grad_norm": 0.08949922025203705,
509
+ "learning_rate": 3.0092592592592593e-05,
510
+ "loss": 0.0925,
511
+ "step": 550
512
+ },
513
+ {
514
+ "epoch": 13.02,
515
+ "grad_norm": 13.087860107421875,
516
+ "learning_rate": 2.962962962962963e-05,
517
+ "loss": 0.8925,
518
+ "step": 560
519
+ },
520
+ {
521
+ "epoch": 13.03,
522
+ "grad_norm": 12.626638412475586,
523
+ "learning_rate": 2.916666666666667e-05,
524
+ "loss": 0.5441,
525
+ "step": 570
526
+ },
527
+ {
528
+ "epoch": 13.03,
529
+ "eval_accuracy": 0.6078431372549019,
530
+ "eval_loss": 1.401322364807129,
531
+ "eval_runtime": 140.7378,
532
+ "eval_samples_per_second": 0.362,
533
+ "eval_steps_per_second": 0.185,
534
+ "step": 574
535
+ },
536
+ {
537
+ "epoch": 14.01,
538
+ "grad_norm": 0.09884772449731827,
539
+ "learning_rate": 2.8703703703703706e-05,
540
+ "loss": 0.2266,
541
+ "step": 580
542
+ },
543
+ {
544
+ "epoch": 14.01,
545
+ "grad_norm": 0.16622687876224518,
546
+ "learning_rate": 2.824074074074074e-05,
547
+ "loss": 0.0233,
548
+ "step": 590
549
+ },
550
+ {
551
+ "epoch": 14.02,
552
+ "grad_norm": 0.08121990412473679,
553
  "learning_rate": 2.777777777777778e-05,
554
+ "loss": 0.4697,
555
+ "step": 600
556
  },
557
  {
558
+ "epoch": 14.03,
559
+ "grad_norm": 0.04321848973631859,
560
+ "learning_rate": 2.7314814814814816e-05,
561
+ "loss": 0.4035,
562
+ "step": 610
 
 
563
  },
564
  {
565
+ "epoch": 14.03,
566
+ "eval_accuracy": 0.6078431372549019,
567
+ "eval_loss": 1.9077707529067993,
568
+ "eval_runtime": 140.6526,
569
+ "eval_samples_per_second": 0.363,
570
+ "eval_steps_per_second": 0.185,
571
+ "step": 615
572
  },
573
  {
574
+ "epoch": 15.0,
575
+ "grad_norm": 0.08672894537448883,
576
+ "learning_rate": 2.6851851851851855e-05,
577
+ "loss": 0.7602,
578
+ "step": 620
 
 
579
  },
580
  {
581
+ "epoch": 15.01,
582
+ "grad_norm": 0.03848231956362724,
583
+ "learning_rate": 2.6388888888888892e-05,
584
+ "loss": 0.0041,
585
+ "step": 630
 
 
586
  },
587
  {
588
+ "epoch": 15.02,
589
+ "grad_norm": 0.09817267954349518,
590
+ "learning_rate": 2.5925925925925925e-05,
591
+ "loss": 0.7232,
592
+ "step": 640
 
 
593
  },
594
  {
595
+ "epoch": 15.03,
596
+ "grad_norm": 2.0446386337280273,
597
+ "learning_rate": 2.5462962962962965e-05,
598
+ "loss": 0.1713,
599
+ "step": 650
600
+ },
601
+ {
602
+ "epoch": 15.03,
603
+ "eval_accuracy": 0.5882352941176471,
604
+ "eval_loss": 2.080268383026123,
605
+ "eval_runtime": 140.5712,
606
+ "eval_samples_per_second": 0.363,
607
+ "eval_steps_per_second": 0.185,
608
+ "step": 656
609
+ },
610
+ {
611
+ "epoch": 16.0,
612
+ "grad_norm": 13.678278923034668,
613
+ "learning_rate": 2.5e-05,
614
+ "loss": 0.4517,
615
+ "step": 660
616
+ },
617
+ {
618
+ "epoch": 16.01,
619
+ "grad_norm": 6.980419635772705,
620
+ "learning_rate": 2.4537037037037038e-05,
621
+ "loss": 0.0059,
622
+ "step": 670
623
+ },
624
+ {
625
+ "epoch": 16.02,
626
+ "grad_norm": 0.3049313724040985,
627
+ "learning_rate": 2.4074074074074074e-05,
628
+ "loss": 0.0051,
629
+ "step": 680
630
+ },
631
+ {
632
+ "epoch": 16.03,
633
+ "grad_norm": 0.06310291588306427,
634
+ "learning_rate": 2.361111111111111e-05,
635
+ "loss": 0.0542,
636
+ "step": 690
637
+ },
638
+ {
639
+ "epoch": 16.03,
640
+ "eval_accuracy": 0.6078431372549019,
641
+ "eval_loss": 2.543215036392212,
642
+ "eval_runtime": 139.4428,
643
+ "eval_samples_per_second": 0.366,
644
+ "eval_steps_per_second": 0.186,
645
+ "step": 697
646
+ },
647
+ {
648
+ "epoch": 17.0,
649
+ "grad_norm": 0.047225985676050186,
650
+ "learning_rate": 2.314814814814815e-05,
651
+ "loss": 0.4816,
652
+ "step": 700
653
+ },
654
+ {
655
+ "epoch": 17.01,
656
+ "grad_norm": 0.025472501292824745,
657
+ "learning_rate": 2.2685185185185187e-05,
658
+ "loss": 0.2573,
659
+ "step": 710
660
+ },
661
+ {
662
+ "epoch": 17.02,
663
+ "grad_norm": 0.1224554181098938,
664
+ "learning_rate": 2.2222222222222223e-05,
665
+ "loss": 0.0025,
666
+ "step": 720
667
+ },
668
+ {
669
+ "epoch": 17.03,
670
+ "grad_norm": 0.01003193762153387,
671
+ "learning_rate": 2.175925925925926e-05,
672
+ "loss": 0.3084,
673
+ "step": 730
674
+ },
675
+ {
676
+ "epoch": 17.03,
677
+ "eval_accuracy": 0.6078431372549019,
678
+ "eval_loss": 2.57525372505188,
679
+ "eval_runtime": 138.9495,
680
+ "eval_samples_per_second": 0.367,
681
+ "eval_steps_per_second": 0.187,
682
+ "step": 738
683
+ },
684
+ {
685
+ "epoch": 18.0,
686
+ "grad_norm": 1.1518467664718628,
687
+ "learning_rate": 2.1296296296296296e-05,
688
+ "loss": 0.242,
689
+ "step": 740
690
+ },
691
+ {
692
+ "epoch": 18.01,
693
+ "grad_norm": 0.033695243299007416,
694
+ "learning_rate": 2.0833333333333336e-05,
695
+ "loss": 0.2333,
696
+ "step": 750
697
+ },
698
+ {
699
+ "epoch": 18.02,
700
+ "grad_norm": 0.06799116730690002,
701
+ "learning_rate": 2.037037037037037e-05,
702
+ "loss": 0.0012,
703
+ "step": 760
704
+ },
705
+ {
706
+ "epoch": 18.03,
707
+ "grad_norm": 0.00848899595439434,
708
+ "learning_rate": 1.990740740740741e-05,
709
+ "loss": 0.2476,
710
+ "step": 770
711
+ },
712
+ {
713
+ "epoch": 18.03,
714
+ "eval_accuracy": 0.6274509803921569,
715
+ "eval_loss": 2.4252748489379883,
716
+ "eval_runtime": 140.2598,
717
+ "eval_samples_per_second": 0.364,
718
+ "eval_steps_per_second": 0.185,
719
+ "step": 779
720
+ },
721
+ {
722
+ "epoch": 19.0,
723
+ "grad_norm": 0.015138844028115273,
724
+ "learning_rate": 1.9444444444444445e-05,
725
+ "loss": 0.3527,
726
+ "step": 780
727
+ },
728
+ {
729
+ "epoch": 19.01,
730
+ "grad_norm": 0.008504153229296207,
731
+ "learning_rate": 1.8981481481481482e-05,
732
+ "loss": 0.0087,
733
+ "step": 790
734
+ },
735
+ {
736
+ "epoch": 19.02,
737
+ "grad_norm": 140.87295532226562,
738
+ "learning_rate": 1.8518518518518518e-05,
739
+ "loss": 0.2821,
740
+ "step": 800
741
+ },
742
+ {
743
+ "epoch": 19.03,
744
+ "grad_norm": 0.027083896100521088,
745
+ "learning_rate": 1.8055555555555555e-05,
746
+ "loss": 0.404,
747
+ "step": 810
748
+ },
749
+ {
750
+ "epoch": 19.03,
751
+ "grad_norm": 0.15064358711242676,
752
+ "learning_rate": 1.7592592592592595e-05,
753
+ "loss": 0.006,
754
+ "step": 820
755
+ },
756
+ {
757
+ "epoch": 19.03,
758
+ "eval_accuracy": 0.6078431372549019,
759
+ "eval_loss": 2.4320342540740967,
760
+ "eval_runtime": 136.4673,
761
+ "eval_samples_per_second": 0.374,
762
+ "eval_steps_per_second": 0.191,
763
+ "step": 820
764
+ },
765
+ {
766
+ "epoch": 20.01,
767
+ "grad_norm": 0.05090714618563652,
768
+ "learning_rate": 1.712962962962963e-05,
769
+ "loss": 0.1214,
770
+ "step": 830
771
+ },
772
+ {
773
+ "epoch": 20.02,
774
+ "grad_norm": 0.05721502751111984,
775
+ "learning_rate": 1.6666666666666667e-05,
776
+ "loss": 0.3519,
777
+ "step": 840
778
+ },
779
+ {
780
+ "epoch": 20.02,
781
+ "grad_norm": 0.025916827842593193,
782
+ "learning_rate": 1.6203703703703704e-05,
783
+ "loss": 0.0014,
784
+ "step": 850
785
+ },
786
+ {
787
+ "epoch": 20.03,
788
+ "grad_norm": 0.04987427219748497,
789
+ "learning_rate": 1.574074074074074e-05,
790
+ "loss": 0.0021,
791
+ "step": 860
792
+ },
793
+ {
794
+ "epoch": 20.03,
795
+ "eval_accuracy": 0.6078431372549019,
796
+ "eval_loss": 2.718170166015625,
797
+ "eval_runtime": 143.3116,
798
+ "eval_samples_per_second": 0.356,
799
+ "eval_steps_per_second": 0.181,
800
+ "step": 861
801
+ },
802
+ {
803
+ "epoch": 21.01,
804
+ "grad_norm": 0.009684134274721146,
805
+ "learning_rate": 1.527777777777778e-05,
806
+ "loss": 0.22,
807
+ "step": 870
808
+ },
809
+ {
810
+ "epoch": 21.02,
811
+ "grad_norm": 20.616426467895508,
812
+ "learning_rate": 1.4814814814814815e-05,
813
+ "loss": 0.2033,
814
+ "step": 880
815
+ },
816
+ {
817
+ "epoch": 21.02,
818
+ "grad_norm": 0.028017116710543633,
819
+ "learning_rate": 1.4351851851851853e-05,
820
+ "loss": 0.4944,
821
+ "step": 890
822
+ },
823
+ {
824
+ "epoch": 21.03,
825
+ "grad_norm": 0.04853179305791855,
826
+ "learning_rate": 1.388888888888889e-05,
827
+ "loss": 0.008,
828
+ "step": 900
829
+ },
830
+ {
831
+ "epoch": 21.03,
832
+ "eval_accuracy": 0.5882352941176471,
833
+ "eval_loss": 2.771120548248291,
834
+ "eval_runtime": 141.504,
835
+ "eval_samples_per_second": 0.36,
836
+ "eval_steps_per_second": 0.184,
837
+ "step": 902
838
+ },
839
+ {
840
+ "epoch": 22.01,
841
+ "grad_norm": 0.010195921175181866,
842
+ "learning_rate": 1.3425925925925928e-05,
843
+ "loss": 0.2491,
844
+ "step": 910
845
+ },
846
+ {
847
+ "epoch": 22.02,
848
+ "grad_norm": 0.058783795684576035,
849
+ "learning_rate": 1.2962962962962962e-05,
850
+ "loss": 0.1002,
851
+ "step": 920
852
+ },
853
+ {
854
+ "epoch": 22.02,
855
+ "grad_norm": 0.009438421577215195,
856
+ "learning_rate": 1.25e-05,
857
+ "loss": 0.2846,
858
+ "step": 930
859
+ },
860
+ {
861
+ "epoch": 22.03,
862
+ "grad_norm": 0.017627988010644913,
863
+ "learning_rate": 1.2037037037037037e-05,
864
+ "loss": 0.0011,
865
+ "step": 940
866
+ },
867
+ {
868
+ "epoch": 22.03,
869
+ "eval_accuracy": 0.5882352941176471,
870
+ "eval_loss": 2.808924674987793,
871
+ "eval_runtime": 140.1443,
872
+ "eval_samples_per_second": 0.364,
873
+ "eval_steps_per_second": 0.186,
874
+ "step": 943
875
+ },
876
+ {
877
+ "epoch": 23.01,
878
+ "grad_norm": 0.009988226927816868,
879
+ "learning_rate": 1.1574074074074075e-05,
880
+ "loss": 0.0157,
881
+ "step": 950
882
+ },
883
+ {
884
+ "epoch": 23.01,
885
+ "grad_norm": 0.02875751443207264,
886
+ "learning_rate": 1.1111111111111112e-05,
887
+ "loss": 0.0036,
888
+ "step": 960
889
+ },
890
+ {
891
+ "epoch": 23.02,
892
+ "grad_norm": 0.5501790046691895,
893
+ "learning_rate": 1.0648148148148148e-05,
894
+ "loss": 0.0029,
895
+ "step": 970
896
+ },
897
+ {
898
+ "epoch": 23.03,
899
+ "grad_norm": 0.013142755255103111,
900
+ "learning_rate": 1.0185185185185185e-05,
901
+ "loss": 0.7546,
902
+ "step": 980
903
+ },
904
+ {
905
+ "epoch": 23.03,
906
+ "eval_accuracy": 0.6078431372549019,
907
+ "eval_loss": 2.8142335414886475,
908
+ "eval_runtime": 147.8203,
909
+ "eval_samples_per_second": 0.345,
910
+ "eval_steps_per_second": 0.176,
911
+ "step": 984
912
+ },
913
+ {
914
+ "epoch": 24.0,
915
+ "grad_norm": 1.282440423965454,
916
+ "learning_rate": 9.722222222222223e-06,
917
+ "loss": 0.0821,
918
+ "step": 990
919
+ },
920
+ {
921
+ "epoch": 24.01,
922
+ "grad_norm": 0.011100966483354568,
923
+ "learning_rate": 9.259259259259259e-06,
924
+ "loss": 0.0014,
925
+ "step": 1000
926
+ },
927
+ {
928
+ "epoch": 24.02,
929
+ "grad_norm": 0.020793117582798004,
930
+ "learning_rate": 8.796296296296297e-06,
931
+ "loss": 0.1571,
932
+ "step": 1010
933
+ },
934
+ {
935
+ "epoch": 24.03,
936
+ "grad_norm": 0.02288602478802204,
937
+ "learning_rate": 8.333333333333334e-06,
938
+ "loss": 0.0006,
939
+ "step": 1020
940
+ },
941
+ {
942
+ "epoch": 24.03,
943
+ "eval_accuracy": 0.6078431372549019,
944
+ "eval_loss": 2.8796093463897705,
945
+ "eval_runtime": 142.281,
946
+ "eval_samples_per_second": 0.358,
947
+ "eval_steps_per_second": 0.183,
948
+ "step": 1025
949
+ },
950
+ {
951
+ "epoch": 25.0,
952
+ "grad_norm": 0.031101850792765617,
953
+ "learning_rate": 7.87037037037037e-06,
954
+ "loss": 0.0051,
955
+ "step": 1030
956
+ },
957
+ {
958
+ "epoch": 25.01,
959
+ "grad_norm": 0.017316602170467377,
960
+ "learning_rate": 7.4074074074074075e-06,
961
+ "loss": 0.0006,
962
+ "step": 1040
963
+ },
964
+ {
965
+ "epoch": 25.02,
966
+ "grad_norm": 0.015025320462882519,
967
+ "learning_rate": 6.944444444444445e-06,
968
+ "loss": 0.2444,
969
+ "step": 1050
970
+ },
971
+ {
972
+ "epoch": 25.03,
973
+ "grad_norm": 0.014637992717325687,
974
+ "learning_rate": 6.481481481481481e-06,
975
+ "loss": 0.0008,
976
+ "step": 1060
977
+ },
978
+ {
979
+ "epoch": 25.03,
980
+ "eval_accuracy": 0.6078431372549019,
981
+ "eval_loss": 2.8485913276672363,
982
+ "eval_runtime": 140.4219,
983
+ "eval_samples_per_second": 0.363,
984
+ "eval_steps_per_second": 0.185,
985
+ "step": 1066
986
+ },
987
+ {
988
+ "epoch": 26.0,
989
+ "grad_norm": 0.1402996927499771,
990
+ "learning_rate": 6.0185185185185185e-06,
991
+ "loss": 0.1973,
992
+ "step": 1070
993
+ },
994
+ {
995
+ "epoch": 26.01,
996
+ "grad_norm": 0.006944969296455383,
997
+ "learning_rate": 5.555555555555556e-06,
998
+ "loss": 0.0005,
999
+ "step": 1080
1000
+ },
1001
+ {
1002
+ "epoch": 26.02,
1003
+ "grad_norm": 18.494768142700195,
1004
+ "learning_rate": 5.092592592592592e-06,
1005
+ "loss": 0.1727,
1006
+ "step": 1090
1007
+ },
1008
+ {
1009
+ "epoch": 26.03,
1010
+ "grad_norm": 0.010701355524361134,
1011
+ "learning_rate": 4.6296296296296296e-06,
1012
+ "loss": 0.1745,
1013
+ "step": 1100
1014
+ },
1015
+ {
1016
+ "epoch": 26.03,
1017
+ "eval_accuracy": 0.6078431372549019,
1018
+ "eval_loss": 2.8475284576416016,
1019
+ "eval_runtime": 143.4719,
1020
+ "eval_samples_per_second": 0.355,
1021
+ "eval_steps_per_second": 0.181,
1022
+ "step": 1107
1023
+ },
1024
+ {
1025
+ "epoch": 27.0,
1026
+ "grad_norm": 0.012416614219546318,
1027
+ "learning_rate": 4.166666666666667e-06,
1028
+ "loss": 0.0074,
1029
+ "step": 1110
1030
+ },
1031
+ {
1032
+ "epoch": 27.01,
1033
+ "grad_norm": 0.06672808527946472,
1034
+ "learning_rate": 3.7037037037037037e-06,
1035
+ "loss": 0.0006,
1036
+ "step": 1120
1037
+ },
1038
+ {
1039
+ "epoch": 27.02,
1040
+ "grad_norm": 0.008200524374842644,
1041
+ "learning_rate": 3.2407407407407406e-06,
1042
+ "loss": 0.0006,
1043
+ "step": 1130
1044
+ },
1045
+ {
1046
+ "epoch": 27.03,
1047
+ "grad_norm": 14.067534446716309,
1048
+ "learning_rate": 2.777777777777778e-06,
1049
+ "loss": 0.5421,
1050
+ "step": 1140
1051
+ },
1052
+ {
1053
+ "epoch": 27.03,
1054
+ "eval_accuracy": 0.6078431372549019,
1055
+ "eval_loss": 2.8462321758270264,
1056
+ "eval_runtime": 137.4454,
1057
+ "eval_samples_per_second": 0.371,
1058
+ "eval_steps_per_second": 0.189,
1059
+ "step": 1148
1060
+ },
1061
+ {
1062
+ "epoch": 28.0,
1063
+ "grad_norm": 0.009883771650493145,
1064
+ "learning_rate": 2.3148148148148148e-06,
1065
+ "loss": 0.0889,
1066
+ "step": 1150
1067
+ },
1068
+ {
1069
+ "epoch": 28.01,
1070
+ "grad_norm": 0.007996085099875927,
1071
+ "learning_rate": 1.8518518518518519e-06,
1072
+ "loss": 0.1251,
1073
+ "step": 1160
1074
+ },
1075
+ {
1076
+ "epoch": 28.02,
1077
+ "grad_norm": 0.008312738500535488,
1078
+ "learning_rate": 1.388888888888889e-06,
1079
+ "loss": 0.339,
1080
+ "step": 1170
1081
+ },
1082
+ {
1083
+ "epoch": 28.03,
1084
+ "grad_norm": 0.07012984901666641,
1085
+ "learning_rate": 9.259259259259259e-07,
1086
+ "loss": 0.1233,
1087
+ "step": 1180
1088
+ },
1089
+ {
1090
+ "epoch": 28.03,
1091
+ "eval_accuracy": 0.6078431372549019,
1092
+ "eval_loss": 2.8324010372161865,
1093
+ "eval_runtime": 132.7093,
1094
+ "eval_samples_per_second": 0.384,
1095
+ "eval_steps_per_second": 0.196,
1096
+ "step": 1189
1097
+ },
1098
+ {
1099
+ "epoch": 29.0,
1100
+ "grad_norm": 0.029733408242464066,
1101
+ "learning_rate": 4.6296296296296297e-07,
1102
+ "loss": 0.0054,
1103
+ "step": 1190
1104
+ },
1105
+ {
1106
+ "epoch": 29.01,
1107
+ "grad_norm": 0.033483583480119705,
1108
  "learning_rate": 0.0,
1109
+ "loss": 0.1298,
1110
+ "step": 1200
1111
  },
1112
  {
1113
+ "epoch": 29.01,
1114
+ "eval_accuracy": 0.6078431372549019,
1115
+ "eval_loss": 2.833205461502075,
1116
+ "eval_runtime": 130.982,
1117
+ "eval_samples_per_second": 0.389,
1118
+ "eval_steps_per_second": 0.199,
1119
+ "step": 1200
1120
  },
1121
  {
1122
+ "epoch": 29.01,
1123
+ "step": 1200,
1124
+ "total_flos": 2.954419141637505e+18,
1125
+ "train_loss": 0.40525790957190716,
1126
+ "train_runtime": 10653.7383,
1127
+ "train_samples_per_second": 0.225,
1128
+ "train_steps_per_second": 0.113
1129
  },
1130
  {
1131
+ "epoch": 29.01,
1132
+ "eval_accuracy": 0.6274509803921569,
1133
+ "eval_loss": 1.834560751914978,
1134
+ "eval_runtime": 132.9753,
1135
+ "eval_samples_per_second": 0.384,
1136
+ "eval_steps_per_second": 0.196,
1137
+ "step": 1200
1138
  }
1139
  ],
1140
+ "logging_steps": 10,
1141
+ "max_steps": 1200,
1142
+ "num_input_tokens_seen": 0,
1143
  "num_train_epochs": 9223372036854775807,
1144
+ "save_steps": 500,
1145
+ "total_flos": 2.954419141637505e+18,
1146
+ "train_batch_size": 2,
1147
  "trial_name": null,
1148
  "trial_params": null
1149
  }