hwm21 commited on
Commit
d5be96c
1 Parent(s): 906dd2b

Training in progress, step 8000, checkpoint

Browse files
checkpoint-8000/config.json ADDED
@@ -0,0 +1,62 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "facebook/detr-resnet-50-dc5",
3
+ "activation_dropout": 0.0,
4
+ "activation_function": "relu",
5
+ "architectures": [
6
+ "DetrForObjectDetection"
7
+ ],
8
+ "attention_dropout": 0.0,
9
+ "auxiliary_loss": false,
10
+ "backbone": "resnet50",
11
+ "backbone_config": null,
12
+ "backbone_kwargs": {
13
+ "in_chans": 3,
14
+ "out_indices": [
15
+ 1,
16
+ 2,
17
+ 3,
18
+ 4
19
+ ],
20
+ "output_stride": 16
21
+ },
22
+ "bbox_cost": 5,
23
+ "bbox_loss_coefficient": 5,
24
+ "class_cost": 1,
25
+ "classifier_dropout": 0.0,
26
+ "d_model": 256,
27
+ "decoder_attention_heads": 8,
28
+ "decoder_ffn_dim": 2048,
29
+ "decoder_layerdrop": 0.0,
30
+ "decoder_layers": 6,
31
+ "dice_loss_coefficient": 1,
32
+ "dilation": true,
33
+ "dropout": 0.1,
34
+ "encoder_attention_heads": 8,
35
+ "encoder_ffn_dim": 2048,
36
+ "encoder_layerdrop": 0.0,
37
+ "encoder_layers": 6,
38
+ "eos_coefficient": 0.1,
39
+ "giou_cost": 2,
40
+ "giou_loss_coefficient": 2,
41
+ "id2label": {
42
+ "0": "segment"
43
+ },
44
+ "init_std": 0.02,
45
+ "init_xavier_std": 1.0,
46
+ "is_encoder_decoder": true,
47
+ "label2id": {
48
+ "segment": 0
49
+ },
50
+ "mask_loss_coefficient": 1,
51
+ "max_position_embeddings": 1024,
52
+ "model_type": "detr",
53
+ "num_channels": 3,
54
+ "num_hidden_layers": 6,
55
+ "num_queries": 500,
56
+ "position_embedding_type": "sine",
57
+ "scale_embedding": false,
58
+ "torch_dtype": "float32",
59
+ "transformers_version": "4.44.2",
60
+ "use_pretrained_backbone": true,
61
+ "use_timm_backbone": true
62
+ }
checkpoint-8000/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:05c031079cd546aafa1eb7c910e97021024634435df2abd564b936af82a07d5a
3
+ size 166904424
checkpoint-8000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:65840064c1af18d0126894a8bbb08625a41ab9c94cd09b7d49b11e33ff7d6a9b
3
+ size 331310970
checkpoint-8000/preprocessor_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_convert_annotations": true,
3
+ "do_normalize": true,
4
+ "do_pad": true,
5
+ "do_rescale": true,
6
+ "do_resize": true,
7
+ "format": "coco_detection",
8
+ "image_mean": [
9
+ 0.485,
10
+ 0.456,
11
+ 0.406
12
+ ],
13
+ "image_processor_type": "DetrImageProcessor",
14
+ "image_std": [
15
+ 0.229,
16
+ 0.224,
17
+ 0.225
18
+ ],
19
+ "pad_size": null,
20
+ "resample": 2,
21
+ "rescale_factor": 0.00392156862745098,
22
+ "size": {
23
+ "longest_edge": 1333,
24
+ "shortest_edge": 800
25
+ }
26
+ }
checkpoint-8000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:56f4c5def17a53fa4bb8c8fdf8d38f9daf99168f657385a99c02a6e797ebcdea
3
+ size 14244
checkpoint-8000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:773ea79e8ef07cc07fbb2bfe117d1fa1d9b29b4a6c8e5f87475e755ceb7ccbd8
3
+ size 1064
checkpoint-8000/trainer_state.json ADDED
@@ -0,0 +1,1233 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 41.02564102564103,
5
+ "eval_steps": 100,
6
+ "global_step": 8000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.5128205128205128,
13
+ "grad_norm": 73.68424224853516,
14
+ "learning_rate": 9.9907e-06,
15
+ "loss": 3.1457,
16
+ "step": 100
17
+ },
18
+ {
19
+ "epoch": 0.5128205128205128,
20
+ "eval_loss": 2.2357213497161865,
21
+ "eval_runtime": 36.4689,
22
+ "eval_samples_per_second": 10.776,
23
+ "eval_steps_per_second": 1.371,
24
+ "step": 100
25
+ },
26
+ {
27
+ "epoch": 1.0256410256410255,
28
+ "grad_norm": 57.47202682495117,
29
+ "learning_rate": 9.980800000000001e-06,
30
+ "loss": 2.1614,
31
+ "step": 200
32
+ },
33
+ {
34
+ "epoch": 1.0256410256410255,
35
+ "eval_loss": 2.0913825035095215,
36
+ "eval_runtime": 36.349,
37
+ "eval_samples_per_second": 10.812,
38
+ "eval_steps_per_second": 1.376,
39
+ "step": 200
40
+ },
41
+ {
42
+ "epoch": 1.5384615384615383,
43
+ "grad_norm": 176.88357543945312,
44
+ "learning_rate": 9.970800000000001e-06,
45
+ "loss": 2.0388,
46
+ "step": 300
47
+ },
48
+ {
49
+ "epoch": 1.5384615384615383,
50
+ "eval_loss": 2.003911018371582,
51
+ "eval_runtime": 36.2551,
52
+ "eval_samples_per_second": 10.84,
53
+ "eval_steps_per_second": 1.379,
54
+ "step": 300
55
+ },
56
+ {
57
+ "epoch": 2.051282051282051,
58
+ "grad_norm": 55.31132507324219,
59
+ "learning_rate": 9.960800000000001e-06,
60
+ "loss": 1.9285,
61
+ "step": 400
62
+ },
63
+ {
64
+ "epoch": 2.051282051282051,
65
+ "eval_loss": 1.9796075820922852,
66
+ "eval_runtime": 36.4437,
67
+ "eval_samples_per_second": 10.784,
68
+ "eval_steps_per_second": 1.372,
69
+ "step": 400
70
+ },
71
+ {
72
+ "epoch": 2.564102564102564,
73
+ "grad_norm": 41.900753021240234,
74
+ "learning_rate": 9.9508e-06,
75
+ "loss": 1.9523,
76
+ "step": 500
77
+ },
78
+ {
79
+ "epoch": 2.564102564102564,
80
+ "eval_loss": 1.936122179031372,
81
+ "eval_runtime": 36.5845,
82
+ "eval_samples_per_second": 10.742,
83
+ "eval_steps_per_second": 1.367,
84
+ "step": 500
85
+ },
86
+ {
87
+ "epoch": 3.076923076923077,
88
+ "grad_norm": 50.21903991699219,
89
+ "learning_rate": 9.9408e-06,
90
+ "loss": 1.8452,
91
+ "step": 600
92
+ },
93
+ {
94
+ "epoch": 3.076923076923077,
95
+ "eval_loss": 1.8883634805679321,
96
+ "eval_runtime": 36.6015,
97
+ "eval_samples_per_second": 10.737,
98
+ "eval_steps_per_second": 1.366,
99
+ "step": 600
100
+ },
101
+ {
102
+ "epoch": 3.58974358974359,
103
+ "grad_norm": 45.193939208984375,
104
+ "learning_rate": 9.930900000000002e-06,
105
+ "loss": 1.8403,
106
+ "step": 700
107
+ },
108
+ {
109
+ "epoch": 3.58974358974359,
110
+ "eval_loss": 1.8506474494934082,
111
+ "eval_runtime": 36.454,
112
+ "eval_samples_per_second": 10.781,
113
+ "eval_steps_per_second": 1.372,
114
+ "step": 700
115
+ },
116
+ {
117
+ "epoch": 4.102564102564102,
118
+ "grad_norm": 27.302494049072266,
119
+ "learning_rate": 9.920900000000002e-06,
120
+ "loss": 1.7976,
121
+ "step": 800
122
+ },
123
+ {
124
+ "epoch": 4.102564102564102,
125
+ "eval_loss": 1.8370662927627563,
126
+ "eval_runtime": 36.834,
127
+ "eval_samples_per_second": 10.67,
128
+ "eval_steps_per_second": 1.357,
129
+ "step": 800
130
+ },
131
+ {
132
+ "epoch": 4.615384615384615,
133
+ "grad_norm": 52.6607666015625,
134
+ "learning_rate": 9.9109e-06,
135
+ "loss": 1.7508,
136
+ "step": 900
137
+ },
138
+ {
139
+ "epoch": 4.615384615384615,
140
+ "eval_loss": 1.8037244081497192,
141
+ "eval_runtime": 36.9939,
142
+ "eval_samples_per_second": 10.623,
143
+ "eval_steps_per_second": 1.352,
144
+ "step": 900
145
+ },
146
+ {
147
+ "epoch": 5.128205128205128,
148
+ "grad_norm": 59.508033752441406,
149
+ "learning_rate": 9.9009e-06,
150
+ "loss": 1.7383,
151
+ "step": 1000
152
+ },
153
+ {
154
+ "epoch": 5.128205128205128,
155
+ "eval_loss": 1.7986633777618408,
156
+ "eval_runtime": 36.8356,
157
+ "eval_samples_per_second": 10.669,
158
+ "eval_steps_per_second": 1.357,
159
+ "step": 1000
160
+ },
161
+ {
162
+ "epoch": 5.641025641025641,
163
+ "grad_norm": 71.58872985839844,
164
+ "learning_rate": 9.8909e-06,
165
+ "loss": 1.7361,
166
+ "step": 1100
167
+ },
168
+ {
169
+ "epoch": 5.641025641025641,
170
+ "eval_loss": 1.7810852527618408,
171
+ "eval_runtime": 37.0957,
172
+ "eval_samples_per_second": 10.594,
173
+ "eval_steps_per_second": 1.348,
174
+ "step": 1100
175
+ },
176
+ {
177
+ "epoch": 6.153846153846154,
178
+ "grad_norm": 41.782066345214844,
179
+ "learning_rate": 9.8809e-06,
180
+ "loss": 1.682,
181
+ "step": 1200
182
+ },
183
+ {
184
+ "epoch": 6.153846153846154,
185
+ "eval_loss": 1.777554988861084,
186
+ "eval_runtime": 36.9173,
187
+ "eval_samples_per_second": 10.645,
188
+ "eval_steps_per_second": 1.354,
189
+ "step": 1200
190
+ },
191
+ {
192
+ "epoch": 6.666666666666667,
193
+ "grad_norm": 40.28728485107422,
194
+ "learning_rate": 9.8709e-06,
195
+ "loss": 1.7216,
196
+ "step": 1300
197
+ },
198
+ {
199
+ "epoch": 6.666666666666667,
200
+ "eval_loss": 1.7382572889328003,
201
+ "eval_runtime": 36.8918,
202
+ "eval_samples_per_second": 10.653,
203
+ "eval_steps_per_second": 1.355,
204
+ "step": 1300
205
+ },
206
+ {
207
+ "epoch": 7.17948717948718,
208
+ "grad_norm": 104.99211883544922,
209
+ "learning_rate": 9.8609e-06,
210
+ "loss": 1.6534,
211
+ "step": 1400
212
+ },
213
+ {
214
+ "epoch": 7.17948717948718,
215
+ "eval_loss": 1.76559579372406,
216
+ "eval_runtime": 36.3398,
217
+ "eval_samples_per_second": 10.815,
218
+ "eval_steps_per_second": 1.376,
219
+ "step": 1400
220
+ },
221
+ {
222
+ "epoch": 7.6923076923076925,
223
+ "grad_norm": 29.326631546020508,
224
+ "learning_rate": 9.8509e-06,
225
+ "loss": 1.707,
226
+ "step": 1500
227
+ },
228
+ {
229
+ "epoch": 7.6923076923076925,
230
+ "eval_loss": 1.750089406967163,
231
+ "eval_runtime": 36.4098,
232
+ "eval_samples_per_second": 10.794,
233
+ "eval_steps_per_second": 1.373,
234
+ "step": 1500
235
+ },
236
+ {
237
+ "epoch": 8.205128205128204,
238
+ "grad_norm": 37.941261291503906,
239
+ "learning_rate": 9.840900000000001e-06,
240
+ "loss": 1.6554,
241
+ "step": 1600
242
+ },
243
+ {
244
+ "epoch": 8.205128205128204,
245
+ "eval_loss": 1.6900651454925537,
246
+ "eval_runtime": 36.3226,
247
+ "eval_samples_per_second": 10.82,
248
+ "eval_steps_per_second": 1.377,
249
+ "step": 1600
250
+ },
251
+ {
252
+ "epoch": 8.717948717948717,
253
+ "grad_norm": 44.60703659057617,
254
+ "learning_rate": 9.830900000000001e-06,
255
+ "loss": 1.6334,
256
+ "step": 1700
257
+ },
258
+ {
259
+ "epoch": 8.717948717948717,
260
+ "eval_loss": 1.7162973880767822,
261
+ "eval_runtime": 36.2672,
262
+ "eval_samples_per_second": 10.836,
263
+ "eval_steps_per_second": 1.379,
264
+ "step": 1700
265
+ },
266
+ {
267
+ "epoch": 9.23076923076923,
268
+ "grad_norm": 34.127254486083984,
269
+ "learning_rate": 9.820900000000001e-06,
270
+ "loss": 1.6345,
271
+ "step": 1800
272
+ },
273
+ {
274
+ "epoch": 9.23076923076923,
275
+ "eval_loss": 1.6906001567840576,
276
+ "eval_runtime": 36.2264,
277
+ "eval_samples_per_second": 10.848,
278
+ "eval_steps_per_second": 1.38,
279
+ "step": 1800
280
+ },
281
+ {
282
+ "epoch": 9.743589743589745,
283
+ "grad_norm": 60.377540588378906,
284
+ "learning_rate": 9.810900000000001e-06,
285
+ "loss": 1.598,
286
+ "step": 1900
287
+ },
288
+ {
289
+ "epoch": 9.743589743589745,
290
+ "eval_loss": 1.6555503606796265,
291
+ "eval_runtime": 36.3896,
292
+ "eval_samples_per_second": 10.8,
293
+ "eval_steps_per_second": 1.374,
294
+ "step": 1900
295
+ },
296
+ {
297
+ "epoch": 10.256410256410255,
298
+ "grad_norm": 20.264404296875,
299
+ "learning_rate": 9.800900000000001e-06,
300
+ "loss": 1.5466,
301
+ "step": 2000
302
+ },
303
+ {
304
+ "epoch": 10.256410256410255,
305
+ "eval_loss": 1.648037075996399,
306
+ "eval_runtime": 36.4136,
307
+ "eval_samples_per_second": 10.793,
308
+ "eval_steps_per_second": 1.373,
309
+ "step": 2000
310
+ },
311
+ {
312
+ "epoch": 10.76923076923077,
313
+ "grad_norm": 27.18608856201172,
314
+ "learning_rate": 9.790900000000001e-06,
315
+ "loss": 1.5865,
316
+ "step": 2100
317
+ },
318
+ {
319
+ "epoch": 10.76923076923077,
320
+ "eval_loss": 1.6171936988830566,
321
+ "eval_runtime": 36.1051,
322
+ "eval_samples_per_second": 10.885,
323
+ "eval_steps_per_second": 1.385,
324
+ "step": 2100
325
+ },
326
+ {
327
+ "epoch": 11.282051282051283,
328
+ "grad_norm": 32.486331939697266,
329
+ "learning_rate": 9.780900000000002e-06,
330
+ "loss": 1.5284,
331
+ "step": 2200
332
+ },
333
+ {
334
+ "epoch": 11.282051282051283,
335
+ "eval_loss": 1.5915095806121826,
336
+ "eval_runtime": 36.1781,
337
+ "eval_samples_per_second": 10.863,
338
+ "eval_steps_per_second": 1.382,
339
+ "step": 2200
340
+ },
341
+ {
342
+ "epoch": 11.794871794871796,
343
+ "grad_norm": 65.88719940185547,
344
+ "learning_rate": 9.770900000000002e-06,
345
+ "loss": 1.5514,
346
+ "step": 2300
347
+ },
348
+ {
349
+ "epoch": 11.794871794871796,
350
+ "eval_loss": 1.5879931449890137,
351
+ "eval_runtime": 36.3934,
352
+ "eval_samples_per_second": 10.799,
353
+ "eval_steps_per_second": 1.374,
354
+ "step": 2300
355
+ },
356
+ {
357
+ "epoch": 12.307692307692308,
358
+ "grad_norm": 31.737024307250977,
359
+ "learning_rate": 9.760900000000002e-06,
360
+ "loss": 1.4941,
361
+ "step": 2400
362
+ },
363
+ {
364
+ "epoch": 12.307692307692308,
365
+ "eval_loss": 1.583853006362915,
366
+ "eval_runtime": 36.3797,
367
+ "eval_samples_per_second": 10.803,
368
+ "eval_steps_per_second": 1.374,
369
+ "step": 2400
370
+ },
371
+ {
372
+ "epoch": 12.820512820512821,
373
+ "grad_norm": 45.48268508911133,
374
+ "learning_rate": 9.7509e-06,
375
+ "loss": 1.5097,
376
+ "step": 2500
377
+ },
378
+ {
379
+ "epoch": 12.820512820512821,
380
+ "eval_loss": 1.5559026002883911,
381
+ "eval_runtime": 36.1605,
382
+ "eval_samples_per_second": 10.868,
383
+ "eval_steps_per_second": 1.383,
384
+ "step": 2500
385
+ },
386
+ {
387
+ "epoch": 13.333333333333334,
388
+ "grad_norm": 27.500398635864258,
389
+ "learning_rate": 9.7409e-06,
390
+ "loss": 1.5018,
391
+ "step": 2600
392
+ },
393
+ {
394
+ "epoch": 13.333333333333334,
395
+ "eval_loss": 1.5453521013259888,
396
+ "eval_runtime": 36.2887,
397
+ "eval_samples_per_second": 10.83,
398
+ "eval_steps_per_second": 1.378,
399
+ "step": 2600
400
+ },
401
+ {
402
+ "epoch": 13.846153846153847,
403
+ "grad_norm": 32.49728775024414,
404
+ "learning_rate": 9.7309e-06,
405
+ "loss": 1.4804,
406
+ "step": 2700
407
+ },
408
+ {
409
+ "epoch": 13.846153846153847,
410
+ "eval_loss": 1.5424816608428955,
411
+ "eval_runtime": 36.359,
412
+ "eval_samples_per_second": 10.809,
413
+ "eval_steps_per_second": 1.375,
414
+ "step": 2700
415
+ },
416
+ {
417
+ "epoch": 14.35897435897436,
418
+ "grad_norm": 38.46280288696289,
419
+ "learning_rate": 9.7209e-06,
420
+ "loss": 1.4826,
421
+ "step": 2800
422
+ },
423
+ {
424
+ "epoch": 14.35897435897436,
425
+ "eval_loss": 1.5317177772521973,
426
+ "eval_runtime": 36.3362,
427
+ "eval_samples_per_second": 10.816,
428
+ "eval_steps_per_second": 1.376,
429
+ "step": 2800
430
+ },
431
+ {
432
+ "epoch": 14.871794871794872,
433
+ "grad_norm": 16.075960159301758,
434
+ "learning_rate": 9.7109e-06,
435
+ "loss": 1.4568,
436
+ "step": 2900
437
+ },
438
+ {
439
+ "epoch": 14.871794871794872,
440
+ "eval_loss": 1.5241832733154297,
441
+ "eval_runtime": 36.2025,
442
+ "eval_samples_per_second": 10.856,
443
+ "eval_steps_per_second": 1.381,
444
+ "step": 2900
445
+ },
446
+ {
447
+ "epoch": 15.384615384615385,
448
+ "grad_norm": 27.334318161010742,
449
+ "learning_rate": 9.7009e-06,
450
+ "loss": 1.4176,
451
+ "step": 3000
452
+ },
453
+ {
454
+ "epoch": 15.384615384615385,
455
+ "eval_loss": 1.520580768585205,
456
+ "eval_runtime": 36.398,
457
+ "eval_samples_per_second": 10.797,
458
+ "eval_steps_per_second": 1.374,
459
+ "step": 3000
460
+ },
461
+ {
462
+ "epoch": 15.897435897435898,
463
+ "grad_norm": 94.90784454345703,
464
+ "learning_rate": 9.6909e-06,
465
+ "loss": 1.4681,
466
+ "step": 3100
467
+ },
468
+ {
469
+ "epoch": 15.897435897435898,
470
+ "eval_loss": 1.5268648862838745,
471
+ "eval_runtime": 36.0541,
472
+ "eval_samples_per_second": 10.9,
473
+ "eval_steps_per_second": 1.387,
474
+ "step": 3100
475
+ },
476
+ {
477
+ "epoch": 16.41025641025641,
478
+ "grad_norm": 16.697856903076172,
479
+ "learning_rate": 9.6809e-06,
480
+ "loss": 1.454,
481
+ "step": 3200
482
+ },
483
+ {
484
+ "epoch": 16.41025641025641,
485
+ "eval_loss": 1.5157753229141235,
486
+ "eval_runtime": 36.3172,
487
+ "eval_samples_per_second": 10.821,
488
+ "eval_steps_per_second": 1.377,
489
+ "step": 3200
490
+ },
491
+ {
492
+ "epoch": 16.923076923076923,
493
+ "grad_norm": 54.05553436279297,
494
+ "learning_rate": 9.670900000000001e-06,
495
+ "loss": 1.4309,
496
+ "step": 3300
497
+ },
498
+ {
499
+ "epoch": 16.923076923076923,
500
+ "eval_loss": 1.516249179840088,
501
+ "eval_runtime": 36.2632,
502
+ "eval_samples_per_second": 10.837,
503
+ "eval_steps_per_second": 1.379,
504
+ "step": 3300
505
+ },
506
+ {
507
+ "epoch": 17.435897435897434,
508
+ "grad_norm": 47.010475158691406,
509
+ "learning_rate": 9.660900000000001e-06,
510
+ "loss": 1.4571,
511
+ "step": 3400
512
+ },
513
+ {
514
+ "epoch": 17.435897435897434,
515
+ "eval_loss": 1.5018247365951538,
516
+ "eval_runtime": 36.2118,
517
+ "eval_samples_per_second": 10.853,
518
+ "eval_steps_per_second": 1.381,
519
+ "step": 3400
520
+ },
521
+ {
522
+ "epoch": 17.94871794871795,
523
+ "grad_norm": 52.865718841552734,
524
+ "learning_rate": 9.650900000000001e-06,
525
+ "loss": 1.4168,
526
+ "step": 3500
527
+ },
528
+ {
529
+ "epoch": 17.94871794871795,
530
+ "eval_loss": 1.4993616342544556,
531
+ "eval_runtime": 36.2572,
532
+ "eval_samples_per_second": 10.839,
533
+ "eval_steps_per_second": 1.379,
534
+ "step": 3500
535
+ },
536
+ {
537
+ "epoch": 18.46153846153846,
538
+ "grad_norm": 30.117380142211914,
539
+ "learning_rate": 9.640900000000001e-06,
540
+ "loss": 1.4275,
541
+ "step": 3600
542
+ },
543
+ {
544
+ "epoch": 18.46153846153846,
545
+ "eval_loss": 1.4899998903274536,
546
+ "eval_runtime": 36.4696,
547
+ "eval_samples_per_second": 10.776,
548
+ "eval_steps_per_second": 1.371,
549
+ "step": 3600
550
+ },
551
+ {
552
+ "epoch": 18.974358974358974,
553
+ "grad_norm": 31.10028076171875,
554
+ "learning_rate": 9.630900000000001e-06,
555
+ "loss": 1.4148,
556
+ "step": 3700
557
+ },
558
+ {
559
+ "epoch": 18.974358974358974,
560
+ "eval_loss": 1.5231629610061646,
561
+ "eval_runtime": 36.4604,
562
+ "eval_samples_per_second": 10.779,
563
+ "eval_steps_per_second": 1.371,
564
+ "step": 3700
565
+ },
566
+ {
567
+ "epoch": 19.487179487179485,
568
+ "grad_norm": 44.06697082519531,
569
+ "learning_rate": 9.620900000000001e-06,
570
+ "loss": 1.4057,
571
+ "step": 3800
572
+ },
573
+ {
574
+ "epoch": 19.487179487179485,
575
+ "eval_loss": 1.4841217994689941,
576
+ "eval_runtime": 36.3382,
577
+ "eval_samples_per_second": 10.815,
578
+ "eval_steps_per_second": 1.376,
579
+ "step": 3800
580
+ },
581
+ {
582
+ "epoch": 20.0,
583
+ "grad_norm": 53.86429214477539,
584
+ "learning_rate": 9.610900000000001e-06,
585
+ "loss": 1.4302,
586
+ "step": 3900
587
+ },
588
+ {
589
+ "epoch": 20.0,
590
+ "eval_loss": 1.477772831916809,
591
+ "eval_runtime": 36.1794,
592
+ "eval_samples_per_second": 10.863,
593
+ "eval_steps_per_second": 1.382,
594
+ "step": 3900
595
+ },
596
+ {
597
+ "epoch": 20.51282051282051,
598
+ "grad_norm": 80.95457458496094,
599
+ "learning_rate": 9.600900000000002e-06,
600
+ "loss": 1.4076,
601
+ "step": 4000
602
+ },
603
+ {
604
+ "epoch": 20.51282051282051,
605
+ "eval_loss": 1.4769134521484375,
606
+ "eval_runtime": 36.4725,
607
+ "eval_samples_per_second": 10.775,
608
+ "eval_steps_per_second": 1.371,
609
+ "step": 4000
610
+ },
611
+ {
612
+ "epoch": 21.025641025641026,
613
+ "grad_norm": 32.276214599609375,
614
+ "learning_rate": 9.5909e-06,
615
+ "loss": 1.3868,
616
+ "step": 4100
617
+ },
618
+ {
619
+ "epoch": 21.025641025641026,
620
+ "eval_loss": 1.463292121887207,
621
+ "eval_runtime": 36.5192,
622
+ "eval_samples_per_second": 10.761,
623
+ "eval_steps_per_second": 1.369,
624
+ "step": 4100
625
+ },
626
+ {
627
+ "epoch": 21.53846153846154,
628
+ "grad_norm": 54.65959167480469,
629
+ "learning_rate": 9.5809e-06,
630
+ "loss": 1.3795,
631
+ "step": 4200
632
+ },
633
+ {
634
+ "epoch": 21.53846153846154,
635
+ "eval_loss": 1.4630039930343628,
636
+ "eval_runtime": 36.5288,
637
+ "eval_samples_per_second": 10.759,
638
+ "eval_steps_per_second": 1.369,
639
+ "step": 4200
640
+ },
641
+ {
642
+ "epoch": 22.05128205128205,
643
+ "grad_norm": 42.31818389892578,
644
+ "learning_rate": 9.5709e-06,
645
+ "loss": 1.3787,
646
+ "step": 4300
647
+ },
648
+ {
649
+ "epoch": 22.05128205128205,
650
+ "eval_loss": 1.4471133947372437,
651
+ "eval_runtime": 36.2949,
652
+ "eval_samples_per_second": 10.828,
653
+ "eval_steps_per_second": 1.378,
654
+ "step": 4300
655
+ },
656
+ {
657
+ "epoch": 22.564102564102566,
658
+ "grad_norm": 34.44257736206055,
659
+ "learning_rate": 9.5609e-06,
660
+ "loss": 1.4027,
661
+ "step": 4400
662
+ },
663
+ {
664
+ "epoch": 22.564102564102566,
665
+ "eval_loss": 1.4606964588165283,
666
+ "eval_runtime": 36.5672,
667
+ "eval_samples_per_second": 10.747,
668
+ "eval_steps_per_second": 1.367,
669
+ "step": 4400
670
+ },
671
+ {
672
+ "epoch": 23.076923076923077,
673
+ "grad_norm": 42.65989303588867,
674
+ "learning_rate": 9.5509e-06,
675
+ "loss": 1.3459,
676
+ "step": 4500
677
+ },
678
+ {
679
+ "epoch": 23.076923076923077,
680
+ "eval_loss": 1.454709768295288,
681
+ "eval_runtime": 37.2024,
682
+ "eval_samples_per_second": 10.564,
683
+ "eval_steps_per_second": 1.344,
684
+ "step": 4500
685
+ },
686
+ {
687
+ "epoch": 23.58974358974359,
688
+ "grad_norm": 35.11396789550781,
689
+ "learning_rate": 9.5409e-06,
690
+ "loss": 1.3367,
691
+ "step": 4600
692
+ },
693
+ {
694
+ "epoch": 23.58974358974359,
695
+ "eval_loss": 1.4562979936599731,
696
+ "eval_runtime": 36.4579,
697
+ "eval_samples_per_second": 10.78,
698
+ "eval_steps_per_second": 1.371,
699
+ "step": 4600
700
+ },
701
+ {
702
+ "epoch": 24.102564102564102,
703
+ "grad_norm": 32.71805953979492,
704
+ "learning_rate": 9.5309e-06,
705
+ "loss": 1.3575,
706
+ "step": 4700
707
+ },
708
+ {
709
+ "epoch": 24.102564102564102,
710
+ "eval_loss": 1.4620144367218018,
711
+ "eval_runtime": 36.4055,
712
+ "eval_samples_per_second": 10.795,
713
+ "eval_steps_per_second": 1.373,
714
+ "step": 4700
715
+ },
716
+ {
717
+ "epoch": 24.615384615384617,
718
+ "grad_norm": 28.839757919311523,
719
+ "learning_rate": 9.5209e-06,
720
+ "loss": 1.3549,
721
+ "step": 4800
722
+ },
723
+ {
724
+ "epoch": 24.615384615384617,
725
+ "eval_loss": 1.4431304931640625,
726
+ "eval_runtime": 36.5027,
727
+ "eval_samples_per_second": 10.766,
728
+ "eval_steps_per_second": 1.37,
729
+ "step": 4800
730
+ },
731
+ {
732
+ "epoch": 25.128205128205128,
733
+ "grad_norm": 45.3994140625,
734
+ "learning_rate": 9.5109e-06,
735
+ "loss": 1.3885,
736
+ "step": 4900
737
+ },
738
+ {
739
+ "epoch": 25.128205128205128,
740
+ "eval_loss": 1.4312200546264648,
741
+ "eval_runtime": 36.3039,
742
+ "eval_samples_per_second": 10.825,
743
+ "eval_steps_per_second": 1.377,
744
+ "step": 4900
745
+ },
746
+ {
747
+ "epoch": 25.641025641025642,
748
+ "grad_norm": 22.972829818725586,
749
+ "learning_rate": 9.5009e-06,
750
+ "loss": 1.3469,
751
+ "step": 5000
752
+ },
753
+ {
754
+ "epoch": 25.641025641025642,
755
+ "eval_loss": 1.416171669960022,
756
+ "eval_runtime": 36.6695,
757
+ "eval_samples_per_second": 10.717,
758
+ "eval_steps_per_second": 1.364,
759
+ "step": 5000
760
+ },
761
+ {
762
+ "epoch": 26.153846153846153,
763
+ "grad_norm": 77.40106964111328,
764
+ "learning_rate": 9.490900000000001e-06,
765
+ "loss": 1.3363,
766
+ "step": 5100
767
+ },
768
+ {
769
+ "epoch": 26.153846153846153,
770
+ "eval_loss": 1.4090278148651123,
771
+ "eval_runtime": 36.2573,
772
+ "eval_samples_per_second": 10.839,
773
+ "eval_steps_per_second": 1.379,
774
+ "step": 5100
775
+ },
776
+ {
777
+ "epoch": 26.666666666666668,
778
+ "grad_norm": 29.757932662963867,
779
+ "learning_rate": 9.480900000000001e-06,
780
+ "loss": 1.3183,
781
+ "step": 5200
782
+ },
783
+ {
784
+ "epoch": 26.666666666666668,
785
+ "eval_loss": 1.4073749780654907,
786
+ "eval_runtime": 36.2439,
787
+ "eval_samples_per_second": 10.843,
788
+ "eval_steps_per_second": 1.38,
789
+ "step": 5200
790
+ },
791
+ {
792
+ "epoch": 27.17948717948718,
793
+ "grad_norm": 56.78797149658203,
794
+ "learning_rate": 9.470900000000001e-06,
795
+ "loss": 1.3568,
796
+ "step": 5300
797
+ },
798
+ {
799
+ "epoch": 27.17948717948718,
800
+ "eval_loss": 1.4153741598129272,
801
+ "eval_runtime": 36.2756,
802
+ "eval_samples_per_second": 10.834,
803
+ "eval_steps_per_second": 1.378,
804
+ "step": 5300
805
+ },
806
+ {
807
+ "epoch": 27.692307692307693,
808
+ "grad_norm": 62.353477478027344,
809
+ "learning_rate": 9.460900000000001e-06,
810
+ "loss": 1.3304,
811
+ "step": 5400
812
+ },
813
+ {
814
+ "epoch": 27.692307692307693,
815
+ "eval_loss": 1.4334921836853027,
816
+ "eval_runtime": 36.2626,
817
+ "eval_samples_per_second": 10.838,
818
+ "eval_steps_per_second": 1.379,
819
+ "step": 5400
820
+ },
821
+ {
822
+ "epoch": 28.205128205128204,
823
+ "grad_norm": 100.7852554321289,
824
+ "learning_rate": 9.450900000000001e-06,
825
+ "loss": 1.2897,
826
+ "step": 5500
827
+ },
828
+ {
829
+ "epoch": 28.205128205128204,
830
+ "eval_loss": 1.4160270690917969,
831
+ "eval_runtime": 36.6139,
832
+ "eval_samples_per_second": 10.734,
833
+ "eval_steps_per_second": 1.366,
834
+ "step": 5500
835
+ },
836
+ {
837
+ "epoch": 28.71794871794872,
838
+ "grad_norm": 62.06657409667969,
839
+ "learning_rate": 9.440900000000001e-06,
840
+ "loss": 1.3233,
841
+ "step": 5600
842
+ },
843
+ {
844
+ "epoch": 28.71794871794872,
845
+ "eval_loss": 1.431317687034607,
846
+ "eval_runtime": 36.5341,
847
+ "eval_samples_per_second": 10.757,
848
+ "eval_steps_per_second": 1.369,
849
+ "step": 5600
850
+ },
851
+ {
852
+ "epoch": 29.23076923076923,
853
+ "grad_norm": 32.661346435546875,
854
+ "learning_rate": 9.4309e-06,
855
+ "loss": 1.305,
856
+ "step": 5700
857
+ },
858
+ {
859
+ "epoch": 29.23076923076923,
860
+ "eval_loss": 1.3954827785491943,
861
+ "eval_runtime": 36.5903,
862
+ "eval_samples_per_second": 10.741,
863
+ "eval_steps_per_second": 1.366,
864
+ "step": 5700
865
+ },
866
+ {
867
+ "epoch": 29.743589743589745,
868
+ "grad_norm": 25.690454483032227,
869
+ "learning_rate": 9.421000000000002e-06,
870
+ "loss": 1.2961,
871
+ "step": 5800
872
+ },
873
+ {
874
+ "epoch": 29.743589743589745,
875
+ "eval_loss": 1.4036046266555786,
876
+ "eval_runtime": 36.5935,
877
+ "eval_samples_per_second": 10.74,
878
+ "eval_steps_per_second": 1.366,
879
+ "step": 5800
880
+ },
881
+ {
882
+ "epoch": 30.256410256410255,
883
+ "grad_norm": 45.45426940917969,
884
+ "learning_rate": 9.411000000000002e-06,
885
+ "loss": 1.3175,
886
+ "step": 5900
887
+ },
888
+ {
889
+ "epoch": 30.256410256410255,
890
+ "eval_loss": 1.3845292329788208,
891
+ "eval_runtime": 36.5594,
892
+ "eval_samples_per_second": 10.75,
893
+ "eval_steps_per_second": 1.368,
894
+ "step": 5900
895
+ },
896
+ {
897
+ "epoch": 30.76923076923077,
898
+ "grad_norm": 41.62439727783203,
899
+ "learning_rate": 9.401000000000002e-06,
900
+ "loss": 1.3242,
901
+ "step": 6000
902
+ },
903
+ {
904
+ "epoch": 30.76923076923077,
905
+ "eval_loss": 1.3939634561538696,
906
+ "eval_runtime": 36.4895,
907
+ "eval_samples_per_second": 10.77,
908
+ "eval_steps_per_second": 1.37,
909
+ "step": 6000
910
+ },
911
+ {
912
+ "epoch": 31.28205128205128,
913
+ "grad_norm": 26.999319076538086,
914
+ "learning_rate": 9.391e-06,
915
+ "loss": 1.2886,
916
+ "step": 6100
917
+ },
918
+ {
919
+ "epoch": 31.28205128205128,
920
+ "eval_loss": 1.3804558515548706,
921
+ "eval_runtime": 36.2599,
922
+ "eval_samples_per_second": 10.838,
923
+ "eval_steps_per_second": 1.379,
924
+ "step": 6100
925
+ },
926
+ {
927
+ "epoch": 31.794871794871796,
928
+ "grad_norm": 24.70287322998047,
929
+ "learning_rate": 9.381e-06,
930
+ "loss": 1.2893,
931
+ "step": 6200
932
+ },
933
+ {
934
+ "epoch": 31.794871794871796,
935
+ "eval_loss": 1.3821990489959717,
936
+ "eval_runtime": 36.2613,
937
+ "eval_samples_per_second": 10.838,
938
+ "eval_steps_per_second": 1.379,
939
+ "step": 6200
940
+ },
941
+ {
942
+ "epoch": 32.30769230769231,
943
+ "grad_norm": 41.910606384277344,
944
+ "learning_rate": 9.371e-06,
945
+ "loss": 1.3093,
946
+ "step": 6300
947
+ },
948
+ {
949
+ "epoch": 32.30769230769231,
950
+ "eval_loss": 1.3875064849853516,
951
+ "eval_runtime": 36.4998,
952
+ "eval_samples_per_second": 10.767,
953
+ "eval_steps_per_second": 1.37,
954
+ "step": 6300
955
+ },
956
+ {
957
+ "epoch": 32.82051282051282,
958
+ "grad_norm": 82.20216369628906,
959
+ "learning_rate": 9.361e-06,
960
+ "loss": 1.3184,
961
+ "step": 6400
962
+ },
963
+ {
964
+ "epoch": 32.82051282051282,
965
+ "eval_loss": 1.3840612173080444,
966
+ "eval_runtime": 36.4787,
967
+ "eval_samples_per_second": 10.773,
968
+ "eval_steps_per_second": 1.371,
969
+ "step": 6400
970
+ },
971
+ {
972
+ "epoch": 33.333333333333336,
973
+ "grad_norm": 797.53271484375,
974
+ "learning_rate": 9.351e-06,
975
+ "loss": 1.2939,
976
+ "step": 6500
977
+ },
978
+ {
979
+ "epoch": 33.333333333333336,
980
+ "eval_loss": 1.3881950378417969,
981
+ "eval_runtime": 36.4166,
982
+ "eval_samples_per_second": 10.792,
983
+ "eval_steps_per_second": 1.373,
984
+ "step": 6500
985
+ },
986
+ {
987
+ "epoch": 33.84615384615385,
988
+ "grad_norm": 35.14693069458008,
989
+ "learning_rate": 9.341000000000001e-06,
990
+ "loss": 1.2881,
991
+ "step": 6600
992
+ },
993
+ {
994
+ "epoch": 33.84615384615385,
995
+ "eval_loss": 1.4039666652679443,
996
+ "eval_runtime": 36.4141,
997
+ "eval_samples_per_second": 10.793,
998
+ "eval_steps_per_second": 1.373,
999
+ "step": 6600
1000
+ },
1001
+ {
1002
+ "epoch": 34.35897435897436,
1003
+ "grad_norm": 38.676666259765625,
1004
+ "learning_rate": 9.331000000000001e-06,
1005
+ "loss": 1.2699,
1006
+ "step": 6700
1007
+ },
1008
+ {
1009
+ "epoch": 34.35897435897436,
1010
+ "eval_loss": 1.3800386190414429,
1011
+ "eval_runtime": 36.2367,
1012
+ "eval_samples_per_second": 10.845,
1013
+ "eval_steps_per_second": 1.38,
1014
+ "step": 6700
1015
+ },
1016
+ {
1017
+ "epoch": 34.87179487179487,
1018
+ "grad_norm": 26.051170349121094,
1019
+ "learning_rate": 9.321000000000001e-06,
1020
+ "loss": 1.3079,
1021
+ "step": 6800
1022
+ },
1023
+ {
1024
+ "epoch": 34.87179487179487,
1025
+ "eval_loss": 1.3784704208374023,
1026
+ "eval_runtime": 36.3119,
1027
+ "eval_samples_per_second": 10.823,
1028
+ "eval_steps_per_second": 1.377,
1029
+ "step": 6800
1030
+ },
1031
+ {
1032
+ "epoch": 35.38461538461539,
1033
+ "grad_norm": 42.667236328125,
1034
+ "learning_rate": 9.311000000000001e-06,
1035
+ "loss": 1.2622,
1036
+ "step": 6900
1037
+ },
1038
+ {
1039
+ "epoch": 35.38461538461539,
1040
+ "eval_loss": 1.3637058734893799,
1041
+ "eval_runtime": 36.1116,
1042
+ "eval_samples_per_second": 10.883,
1043
+ "eval_steps_per_second": 1.385,
1044
+ "step": 6900
1045
+ },
1046
+ {
1047
+ "epoch": 35.8974358974359,
1048
+ "grad_norm": 38.78388977050781,
1049
+ "learning_rate": 9.301000000000001e-06,
1050
+ "loss": 1.2652,
1051
+ "step": 7000
1052
+ },
1053
+ {
1054
+ "epoch": 35.8974358974359,
1055
+ "eval_loss": 1.3452589511871338,
1056
+ "eval_runtime": 36.2593,
1057
+ "eval_samples_per_second": 10.839,
1058
+ "eval_steps_per_second": 1.379,
1059
+ "step": 7000
1060
+ },
1061
+ {
1062
+ "epoch": 36.41025641025641,
1063
+ "grad_norm": 44.43967056274414,
1064
+ "learning_rate": 9.291000000000001e-06,
1065
+ "loss": 1.2378,
1066
+ "step": 7100
1067
+ },
1068
+ {
1069
+ "epoch": 36.41025641025641,
1070
+ "eval_loss": 1.3494073152542114,
1071
+ "eval_runtime": 35.4402,
1072
+ "eval_samples_per_second": 11.089,
1073
+ "eval_steps_per_second": 1.411,
1074
+ "step": 7100
1075
+ },
1076
+ {
1077
+ "epoch": 36.92307692307692,
1078
+ "grad_norm": 49.02131271362305,
1079
+ "learning_rate": 9.281000000000001e-06,
1080
+ "loss": 1.2932,
1081
+ "step": 7200
1082
+ },
1083
+ {
1084
+ "epoch": 36.92307692307692,
1085
+ "eval_loss": 1.3460158109664917,
1086
+ "eval_runtime": 35.9361,
1087
+ "eval_samples_per_second": 10.936,
1088
+ "eval_steps_per_second": 1.391,
1089
+ "step": 7200
1090
+ },
1091
+ {
1092
+ "epoch": 37.43589743589744,
1093
+ "grad_norm": 28.279098510742188,
1094
+ "learning_rate": 9.271000000000002e-06,
1095
+ "loss": 1.2598,
1096
+ "step": 7300
1097
+ },
1098
+ {
1099
+ "epoch": 37.43589743589744,
1100
+ "eval_loss": 1.36253023147583,
1101
+ "eval_runtime": 36.2944,
1102
+ "eval_samples_per_second": 10.828,
1103
+ "eval_steps_per_second": 1.378,
1104
+ "step": 7300
1105
+ },
1106
+ {
1107
+ "epoch": 37.94871794871795,
1108
+ "grad_norm": 35.21017074584961,
1109
+ "learning_rate": 9.261000000000002e-06,
1110
+ "loss": 1.2703,
1111
+ "step": 7400
1112
+ },
1113
+ {
1114
+ "epoch": 37.94871794871795,
1115
+ "eval_loss": 1.3509865999221802,
1116
+ "eval_runtime": 36.2661,
1117
+ "eval_samples_per_second": 10.837,
1118
+ "eval_steps_per_second": 1.379,
1119
+ "step": 7400
1120
+ },
1121
+ {
1122
+ "epoch": 38.46153846153846,
1123
+ "grad_norm": 51.673316955566406,
1124
+ "learning_rate": 9.251000000000002e-06,
1125
+ "loss": 1.2393,
1126
+ "step": 7500
1127
+ },
1128
+ {
1129
+ "epoch": 38.46153846153846,
1130
+ "eval_loss": 1.3402855396270752,
1131
+ "eval_runtime": 36.392,
1132
+ "eval_samples_per_second": 10.799,
1133
+ "eval_steps_per_second": 1.374,
1134
+ "step": 7500
1135
+ },
1136
+ {
1137
+ "epoch": 38.97435897435897,
1138
+ "grad_norm": 53.73936462402344,
1139
+ "learning_rate": 9.241000000000002e-06,
1140
+ "loss": 1.2577,
1141
+ "step": 7600
1142
+ },
1143
+ {
1144
+ "epoch": 38.97435897435897,
1145
+ "eval_loss": 1.3487578630447388,
1146
+ "eval_runtime": 36.2119,
1147
+ "eval_samples_per_second": 10.853,
1148
+ "eval_steps_per_second": 1.381,
1149
+ "step": 7600
1150
+ },
1151
+ {
1152
+ "epoch": 39.48717948717949,
1153
+ "grad_norm": 55.994686126708984,
1154
+ "learning_rate": 9.231000000000002e-06,
1155
+ "loss": 1.229,
1156
+ "step": 7700
1157
+ },
1158
+ {
1159
+ "epoch": 39.48717948717949,
1160
+ "eval_loss": 1.340031623840332,
1161
+ "eval_runtime": 36.2063,
1162
+ "eval_samples_per_second": 10.854,
1163
+ "eval_steps_per_second": 1.381,
1164
+ "step": 7700
1165
+ },
1166
+ {
1167
+ "epoch": 40.0,
1168
+ "grad_norm": 86.7531509399414,
1169
+ "learning_rate": 9.221e-06,
1170
+ "loss": 1.2941,
1171
+ "step": 7800
1172
+ },
1173
+ {
1174
+ "epoch": 40.0,
1175
+ "eval_loss": 1.3422337770462036,
1176
+ "eval_runtime": 36.7462,
1177
+ "eval_samples_per_second": 10.695,
1178
+ "eval_steps_per_second": 1.361,
1179
+ "step": 7800
1180
+ },
1181
+ {
1182
+ "epoch": 40.51282051282051,
1183
+ "grad_norm": 60.86371612548828,
1184
+ "learning_rate": 9.211e-06,
1185
+ "loss": 1.2423,
1186
+ "step": 7900
1187
+ },
1188
+ {
1189
+ "epoch": 40.51282051282051,
1190
+ "eval_loss": 1.3336257934570312,
1191
+ "eval_runtime": 36.2441,
1192
+ "eval_samples_per_second": 10.843,
1193
+ "eval_steps_per_second": 1.38,
1194
+ "step": 7900
1195
+ },
1196
+ {
1197
+ "epoch": 41.02564102564103,
1198
+ "grad_norm": 28.535411834716797,
1199
+ "learning_rate": 9.2011e-06,
1200
+ "loss": 1.2676,
1201
+ "step": 8000
1202
+ },
1203
+ {
1204
+ "epoch": 41.02564102564103,
1205
+ "eval_loss": 1.338461995124817,
1206
+ "eval_runtime": 36.2212,
1207
+ "eval_samples_per_second": 10.85,
1208
+ "eval_steps_per_second": 1.38,
1209
+ "step": 8000
1210
+ }
1211
+ ],
1212
+ "logging_steps": 100,
1213
+ "max_steps": 100000,
1214
+ "num_input_tokens_seen": 0,
1215
+ "num_train_epochs": 513,
1216
+ "save_steps": 500,
1217
+ "stateful_callbacks": {
1218
+ "TrainerControl": {
1219
+ "args": {
1220
+ "should_epoch_stop": false,
1221
+ "should_evaluate": false,
1222
+ "should_log": false,
1223
+ "should_save": true,
1224
+ "should_training_stop": false
1225
+ },
1226
+ "attributes": {}
1227
+ }
1228
+ },
1229
+ "total_flos": 3.057945329664e+19,
1230
+ "train_batch_size": 8,
1231
+ "trial_name": null,
1232
+ "trial_params": null
1233
+ }
checkpoint-8000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8625e14ff679edc4a495930224c1e923adf21894b5ebfeb33e13f511a05ddf66
3
+ size 5304