jayanta commited on
Commit
8e3a06f
·
1 Parent(s): 9c645ca

Training in progress, epoch 0

Browse files
all_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 19.73,
3
- "total_flos": 4.050283110270566e+16,
4
- "train_loss": 0.24904835671186448,
5
- "train_runtime": 1252.5827,
6
- "train_samples_per_second": 10.921,
7
- "train_steps_per_second": 0.032
8
  }
 
1
  {
2
  "epoch": 19.73,
3
+ "total_flos": 1.0463143975579976e+18,
4
+ "train_loss": 0.15636180818546563,
5
+ "train_runtime": 744.5374,
6
+ "train_samples_per_second": 18.374,
7
+ "train_steps_per_second": 0.054
8
  }
config.json CHANGED
@@ -1,14 +1,10 @@
1
  {
2
- "_name_or_path": "microsoft/beit-base-patch16-224",
3
  "architectures": [
4
- "BeitForImageClassification"
5
  ],
6
  "attention_probs_dropout_prob": 0.0,
7
- "auxiliary_channels": 256,
8
- "auxiliary_concat_input": false,
9
- "auxiliary_loss_weight": 0.4,
10
- "auxiliary_num_convs": 1,
11
- "drop_path_rate": 0.1,
12
  "hidden_act": "gelu",
13
  "hidden_dropout_prob": 0.0,
14
  "hidden_size": 768,
@@ -24,33 +20,13 @@
24
  "1": "1"
25
  },
26
  "layer_norm_eps": 1e-12,
27
- "layer_scale_init_value": 0.1,
28
- "model_type": "beit",
29
  "num_attention_heads": 12,
30
  "num_channels": 3,
31
  "num_hidden_layers": 12,
32
- "out_indices": [
33
- 3,
34
- 5,
35
- 7,
36
- 11
37
- ],
38
  "patch_size": 16,
39
- "pool_scales": [
40
- 1,
41
- 2,
42
- 3,
43
- 6
44
- ],
45
  "problem_type": "single_label_classification",
46
- "semantic_loss_ignore_index": 255,
47
  "torch_dtype": "float32",
48
- "transformers_version": "4.24.0",
49
- "use_absolute_position_embeddings": false,
50
- "use_auxiliary_head": true,
51
- "use_mask_token": false,
52
- "use_mean_pooling": true,
53
- "use_relative_position_bias": true,
54
- "use_shared_relative_position_bias": false,
55
- "vocab_size": 8192
56
  }
 
1
  {
2
+ "_name_or_path": "facebook/deit-base-patch16-224",
3
  "architectures": [
4
+ "ViTForImageClassification"
5
  ],
6
  "attention_probs_dropout_prob": 0.0,
7
+ "encoder_stride": 16,
 
 
 
 
8
  "hidden_act": "gelu",
9
  "hidden_dropout_prob": 0.0,
10
  "hidden_size": 768,
 
20
  "1": "1"
21
  },
22
  "layer_norm_eps": 1e-12,
23
+ "model_type": "vit",
 
24
  "num_attention_heads": 12,
25
  "num_channels": 3,
26
  "num_hidden_layers": 12,
 
 
 
 
 
 
27
  "patch_size": 16,
 
 
 
 
 
 
28
  "problem_type": "single_label_classification",
29
+ "qkv_bias": true,
30
  "torch_dtype": "float32",
31
+ "transformers_version": "4.24.0"
 
 
 
 
 
 
 
32
  }
preprocessor_config.json CHANGED
@@ -1,9 +1,7 @@
1
  {
2
- "crop_size": 224,
3
- "do_center_crop": false,
4
  "do_normalize": true,
5
  "do_resize": true,
6
- "feature_extractor_type": "BeitFeatureExtractor",
7
  "image_mean": [
8
  0.5,
9
  0.5,
@@ -14,7 +12,6 @@
14
  0.5,
15
  0.5
16
  ],
17
- "reduce_labels": false,
18
  "resample": 2,
19
  "size": 224
20
  }
 
1
  {
 
 
2
  "do_normalize": true,
3
  "do_resize": true,
4
+ "feature_extractor_type": "ViTFeatureExtractor",
5
  "image_mean": [
6
  0.5,
7
  0.5,
 
12
  0.5,
13
  0.5
14
  ],
 
15
  "resample": 2,
16
  "size": 224
17
  }
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6107934dd16374dafd647f11de87daab593abadcb701d311acbcd5aa56ea7fc1
3
- size 346860409
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f5a60e8db5ce0ed1a1f65e0017b7f4ebedb293cb52f8aefabaff42a39bfdbe89
3
+ size 343268717
runs/Jul10_19-19-56_teesta/events.out.tfevents.1688997005.teesta.35180.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b3e03cba36a3085e592f1e63e5d312037da01fc88c5e3fa6fa3acf3e654ccb21
3
- size 12992
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:73082cddfc5e135eb32f788629a190c4b7b0e87e63b46b22e5240097999944a7
3
+ size 14420
runs/Jul10_19-45-51_teesta/1688998557.768573/events.out.tfevents.1688998557.teesta.35180.3 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d5d73d3467419920d314350c8538905f7814eaf2cec675d9418693e0d209313a
3
+ size 5427
runs/Jul10_19-45-51_teesta/events.out.tfevents.1688998557.teesta.35180.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9d0170a183c07052967337aa87d3bd905ea66097f17511a3f2cf247c755fa8a0
3
+ size 4114
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "epoch": 19.73,
3
- "total_flos": 4.050283110270566e+16,
4
- "train_loss": 0.24904835671186448,
5
- "train_runtime": 1252.5827,
6
- "train_samples_per_second": 10.921,
7
- "train_steps_per_second": 0.032
8
  }
 
1
  {
2
  "epoch": 19.73,
3
+ "total_flos": 1.0463143975579976e+18,
4
+ "train_loss": 0.15636180818546563,
5
+ "train_runtime": 744.5374,
6
+ "train_samples_per_second": 18.374,
7
+ "train_steps_per_second": 0.054
8
  }
trainer_state.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
- "best_metric": 0.9444444444444444,
3
- "best_model_checkpoint": "test/checkpoint-14",
4
  "epoch": 19.727272727272727,
5
  "global_step": 40,
6
  "is_hyper_param_search": false,
@@ -9,281 +9,281 @@
9
  "log_history": [
10
  {
11
  "epoch": 0.73,
12
- "eval_accuracy": 0.6111111111111112,
13
- "eval_f1": 0.5416666666666666,
14
- "eval_loss": 0.7271409630775452,
15
- "eval_precision": 0.5208333333333334,
16
- "eval_recall": 0.6111111111111112,
17
- "eval_runtime": 6.3413,
18
- "eval_samples_per_second": 5.677,
19
- "eval_steps_per_second": 0.158,
20
  "step": 2
21
  },
22
  {
23
  "epoch": 1.73,
24
- "eval_accuracy": 0.8333333333333334,
25
- "eval_f1": 0.8148148148148149,
26
- "eval_loss": 0.46258121728897095,
27
- "eval_precision": 0.8666666666666667,
28
- "eval_recall": 0.8333333333333334,
29
- "eval_runtime": 5.8395,
30
- "eval_samples_per_second": 6.165,
31
- "eval_steps_per_second": 0.171,
32
  "step": 4
33
  },
34
  {
35
  "epoch": 2.73,
36
- "eval_accuracy": 0.9166666666666666,
37
- "eval_f1": 0.9157054125998224,
38
- "eval_loss": 0.3036719858646393,
39
- "eval_precision": 0.9163636363636365,
40
- "eval_recall": 0.9166666666666666,
41
- "eval_runtime": 5.8411,
42
- "eval_samples_per_second": 6.163,
43
- "eval_steps_per_second": 0.171,
44
  "step": 6
45
  },
46
  {
47
  "epoch": 3.73,
48
- "eval_accuracy": 0.9166666666666666,
49
- "eval_f1": 0.9131652661064424,
50
- "eval_loss": 0.24792712926864624,
51
- "eval_precision": 0.9259259259259258,
52
- "eval_recall": 0.9166666666666666,
53
- "eval_runtime": 5.7041,
54
- "eval_samples_per_second": 6.311,
55
- "eval_steps_per_second": 0.175,
56
  "step": 8
57
  },
58
  {
59
  "epoch": 4.73,
60
  "learning_rate": 0.0001,
61
- "loss": 0.6338,
62
  "step": 10
63
  },
64
  {
65
  "epoch": 4.73,
66
- "eval_accuracy": 0.9166666666666666,
67
- "eval_f1": 0.9174468085106382,
68
- "eval_loss": 0.23573820292949677,
69
- "eval_precision": 0.919732441471572,
70
- "eval_recall": 0.9166666666666666,
71
- "eval_runtime": 5.6473,
72
- "eval_samples_per_second": 6.375,
73
- "eval_steps_per_second": 0.177,
74
  "step": 10
75
  },
76
  {
77
  "epoch": 5.73,
78
  "eval_accuracy": 0.8888888888888888,
79
- "eval_f1": 0.890746934225195,
80
- "eval_loss": 0.21319927275180817,
81
- "eval_precision": 0.8982683982683982,
82
  "eval_recall": 0.8888888888888888,
83
- "eval_runtime": 6.2525,
84
- "eval_samples_per_second": 5.758,
85
- "eval_steps_per_second": 0.16,
86
  "step": 12
87
  },
88
  {
89
  "epoch": 6.73,
90
- "eval_accuracy": 0.9444444444444444,
91
- "eval_f1": 0.9430303030303031,
92
- "eval_loss": 0.17125670611858368,
93
- "eval_precision": 0.9487179487179487,
94
- "eval_recall": 0.9444444444444444,
95
- "eval_runtime": 5.7878,
96
- "eval_samples_per_second": 6.22,
97
- "eval_steps_per_second": 0.173,
98
  "step": 14
99
  },
100
  {
101
  "epoch": 7.73,
102
- "eval_accuracy": 0.9444444444444444,
103
- "eval_f1": 0.9444444444444444,
104
- "eval_loss": 0.15498512983322144,
105
- "eval_precision": 0.9444444444444444,
106
- "eval_recall": 0.9444444444444444,
107
- "eval_runtime": 6.2641,
108
- "eval_samples_per_second": 5.747,
109
- "eval_steps_per_second": 0.16,
110
  "step": 16
111
  },
112
  {
113
  "epoch": 8.73,
114
- "eval_accuracy": 0.9444444444444444,
115
- "eval_f1": 0.9444444444444444,
116
- "eval_loss": 0.14064311981201172,
117
- "eval_precision": 0.9444444444444444,
118
- "eval_recall": 0.9444444444444444,
119
- "eval_runtime": 5.34,
120
- "eval_samples_per_second": 6.742,
121
- "eval_steps_per_second": 0.187,
122
  "step": 18
123
  },
124
  {
125
  "epoch": 9.73,
126
  "learning_rate": 6.666666666666667e-05,
127
- "loss": 0.217,
128
  "step": 20
129
  },
130
  {
131
  "epoch": 9.73,
132
- "eval_accuracy": 0.9444444444444444,
133
- "eval_f1": 0.9444444444444444,
134
- "eval_loss": 0.16372796893119812,
135
- "eval_precision": 0.9444444444444444,
136
- "eval_recall": 0.9444444444444444,
137
- "eval_runtime": 5.2833,
138
- "eval_samples_per_second": 6.814,
139
- "eval_steps_per_second": 0.189,
140
  "step": 20
141
  },
142
  {
143
  "epoch": 10.73,
144
- "eval_accuracy": 0.9166666666666666,
145
- "eval_f1": 0.9157054125998224,
146
- "eval_loss": 0.16719864308834076,
147
- "eval_precision": 0.9163636363636365,
148
- "eval_recall": 0.9166666666666666,
149
- "eval_runtime": 6.4055,
150
- "eval_samples_per_second": 5.62,
151
- "eval_steps_per_second": 0.156,
152
  "step": 22
153
  },
154
  {
155
  "epoch": 11.73,
156
- "eval_accuracy": 0.9444444444444444,
157
- "eval_f1": 0.9444444444444444,
158
- "eval_loss": 0.13150224089622498,
159
- "eval_precision": 0.9444444444444444,
160
- "eval_recall": 0.9444444444444444,
161
- "eval_runtime": 5.1218,
162
- "eval_samples_per_second": 7.029,
163
- "eval_steps_per_second": 0.195,
164
  "step": 24
165
  },
166
  {
167
  "epoch": 12.73,
168
- "eval_accuracy": 0.9444444444444444,
169
- "eval_f1": 0.9444444444444444,
170
- "eval_loss": 0.1597292125225067,
171
- "eval_precision": 0.9444444444444444,
172
- "eval_recall": 0.9444444444444444,
173
- "eval_runtime": 5.1268,
174
- "eval_samples_per_second": 7.022,
175
- "eval_steps_per_second": 0.195,
176
  "step": 26
177
  },
178
  {
179
  "epoch": 13.73,
180
- "eval_accuracy": 0.9444444444444444,
181
- "eval_f1": 0.9444444444444444,
182
- "eval_loss": 0.1412082463502884,
183
- "eval_precision": 0.9444444444444444,
184
- "eval_recall": 0.9444444444444444,
185
- "eval_runtime": 5.6714,
186
- "eval_samples_per_second": 6.348,
187
- "eval_steps_per_second": 0.176,
188
  "step": 28
189
  },
190
  {
191
  "epoch": 14.73,
192
  "learning_rate": 3.3333333333333335e-05,
193
- "loss": 0.0906,
194
  "step": 30
195
  },
196
  {
197
  "epoch": 14.73,
198
- "eval_accuracy": 0.9444444444444444,
199
- "eval_f1": 0.9444444444444444,
200
- "eval_loss": 0.1776580661535263,
201
- "eval_precision": 0.9444444444444444,
202
- "eval_recall": 0.9444444444444444,
203
- "eval_runtime": 5.8702,
204
- "eval_samples_per_second": 6.133,
205
- "eval_steps_per_second": 0.17,
206
  "step": 30
207
  },
208
  {
209
  "epoch": 15.73,
210
- "eval_accuracy": 0.9444444444444444,
211
- "eval_f1": 0.9444444444444444,
212
- "eval_loss": 0.14607585966587067,
213
- "eval_precision": 0.9444444444444444,
214
- "eval_recall": 0.9444444444444444,
215
- "eval_runtime": 7.113,
216
- "eval_samples_per_second": 5.061,
217
- "eval_steps_per_second": 0.141,
218
  "step": 32
219
  },
220
  {
221
  "epoch": 16.73,
222
  "eval_accuracy": 0.9166666666666666,
223
- "eval_f1": 0.9174468085106382,
224
- "eval_loss": 0.19147923588752747,
225
- "eval_precision": 0.919732441471572,
226
  "eval_recall": 0.9166666666666666,
227
- "eval_runtime": 5.3662,
228
- "eval_samples_per_second": 6.709,
229
- "eval_steps_per_second": 0.186,
230
  "step": 34
231
  },
232
  {
233
  "epoch": 17.73,
234
  "eval_accuracy": 0.9166666666666666,
235
- "eval_f1": 0.9174468085106382,
236
- "eval_loss": 0.13753658533096313,
237
- "eval_precision": 0.919732441471572,
238
  "eval_recall": 0.9166666666666666,
239
- "eval_runtime": 5.3487,
240
- "eval_samples_per_second": 6.731,
241
- "eval_steps_per_second": 0.187,
242
  "step": 36
243
  },
244
  {
245
  "epoch": 18.73,
246
- "eval_accuracy": 0.9166666666666666,
247
- "eval_f1": 0.9174468085106382,
248
- "eval_loss": 0.1448293775320053,
249
- "eval_precision": 0.919732441471572,
250
- "eval_recall": 0.9166666666666666,
251
- "eval_runtime": 5.5619,
252
- "eval_samples_per_second": 6.473,
253
- "eval_steps_per_second": 0.18,
254
  "step": 38
255
  },
256
  {
257
  "epoch": 19.73,
258
  "learning_rate": 0.0,
259
- "loss": 0.0548,
260
  "step": 40
261
  },
262
  {
263
  "epoch": 19.73,
264
- "eval_accuracy": 0.9444444444444444,
265
- "eval_f1": 0.9444444444444444,
266
- "eval_loss": 0.12921589612960815,
267
- "eval_precision": 0.9444444444444444,
268
- "eval_recall": 0.9444444444444444,
269
- "eval_runtime": 5.8187,
270
- "eval_samples_per_second": 6.187,
271
- "eval_steps_per_second": 0.172,
272
  "step": 40
273
  },
274
  {
275
  "epoch": 19.73,
276
  "step": 40,
277
- "total_flos": 4.050283110270566e+16,
278
- "train_loss": 0.24904835671186448,
279
- "train_runtime": 1252.5827,
280
- "train_samples_per_second": 10.921,
281
- "train_steps_per_second": 0.032
282
  }
283
  ],
284
  "max_steps": 40,
285
  "num_train_epochs": 20,
286
- "total_flos": 4.050283110270566e+16,
287
  "trial_name": null,
288
  "trial_params": null
289
  }
 
1
  {
2
+ "best_metric": 0.9166666666666666,
3
+ "best_model_checkpoint": "test/checkpoint-20",
4
  "epoch": 19.727272727272727,
5
  "global_step": 40,
6
  "is_hyper_param_search": false,
 
9
  "log_history": [
10
  {
11
  "epoch": 0.73,
12
+ "eval_accuracy": 0.7222222222222222,
13
+ "eval_f1": 0.6707818930041152,
14
+ "eval_loss": 0.561225950717926,
15
+ "eval_precision": 0.8090277777777778,
16
+ "eval_recall": 0.7222222222222222,
17
+ "eval_runtime": 5.7451,
18
+ "eval_samples_per_second": 6.266,
19
+ "eval_steps_per_second": 0.174,
20
  "step": 2
21
  },
22
  {
23
  "epoch": 1.73,
24
+ "eval_accuracy": 0.7777777777777778,
25
+ "eval_f1": 0.7608080808080808,
26
+ "eval_loss": 0.3748733699321747,
27
+ "eval_precision": 0.7986111111111112,
28
+ "eval_recall": 0.7777777777777778,
29
+ "eval_runtime": 5.1904,
30
+ "eval_samples_per_second": 6.936,
31
+ "eval_steps_per_second": 0.193,
32
  "step": 4
33
  },
34
  {
35
  "epoch": 2.73,
36
+ "eval_accuracy": 0.8055555555555556,
37
+ "eval_f1": 0.8066066066066067,
38
+ "eval_loss": 0.522664487361908,
39
+ "eval_precision": 0.8703703703703703,
40
+ "eval_recall": 0.8055555555555556,
41
+ "eval_runtime": 5.3959,
42
+ "eval_samples_per_second": 6.672,
43
+ "eval_steps_per_second": 0.185,
44
  "step": 6
45
  },
46
  {
47
  "epoch": 3.73,
48
+ "eval_accuracy": 0.8055555555555556,
49
+ "eval_f1": 0.7864923747276689,
50
+ "eval_loss": 0.5397895574569702,
51
+ "eval_precision": 0.8524904214559387,
52
+ "eval_recall": 0.8055555555555556,
53
+ "eval_runtime": 5.524,
54
+ "eval_samples_per_second": 6.517,
55
+ "eval_steps_per_second": 0.181,
56
  "step": 8
57
  },
58
  {
59
  "epoch": 4.73,
60
  "learning_rate": 0.0001,
61
+ "loss": 0.5735,
62
  "step": 10
63
  },
64
  {
65
  "epoch": 4.73,
66
+ "eval_accuracy": 0.8611111111111112,
67
+ "eval_f1": 0.8600823045267489,
68
+ "eval_loss": 0.24970261752605438,
69
+ "eval_precision": 0.8604607952434039,
70
+ "eval_recall": 0.8611111111111112,
71
+ "eval_runtime": 5.1179,
72
+ "eval_samples_per_second": 7.034,
73
+ "eval_steps_per_second": 0.195,
74
  "step": 10
75
  },
76
  {
77
  "epoch": 5.73,
78
  "eval_accuracy": 0.8888888888888888,
79
+ "eval_f1": 0.8899470899470899,
80
+ "eval_loss": 0.26077044010162354,
81
+ "eval_precision": 0.8965277777777777,
82
  "eval_recall": 0.8888888888888888,
83
+ "eval_runtime": 4.7095,
84
+ "eval_samples_per_second": 7.644,
85
+ "eval_steps_per_second": 0.212,
86
  "step": 12
87
  },
88
  {
89
  "epoch": 6.73,
90
+ "eval_accuracy": 0.8611111111111112,
91
+ "eval_f1": 0.8618907600463335,
92
+ "eval_loss": 0.2541900873184204,
93
+ "eval_precision": 0.8640211640211641,
94
+ "eval_recall": 0.8611111111111112,
95
+ "eval_runtime": 5.4129,
96
+ "eval_samples_per_second": 6.651,
97
+ "eval_steps_per_second": 0.185,
98
  "step": 14
99
  },
100
  {
101
  "epoch": 7.73,
102
+ "eval_accuracy": 0.8611111111111112,
103
+ "eval_f1": 0.857210401891253,
104
+ "eval_loss": 0.2999325394630432,
105
+ "eval_precision": 0.8668686868686869,
106
+ "eval_recall": 0.8611111111111112,
107
+ "eval_runtime": 5.0159,
108
+ "eval_samples_per_second": 7.177,
109
+ "eval_steps_per_second": 0.199,
110
  "step": 16
111
  },
112
  {
113
  "epoch": 8.73,
114
+ "eval_accuracy": 0.8888888888888888,
115
+ "eval_f1": 0.8870308435525827,
116
+ "eval_loss": 0.2993186116218567,
117
+ "eval_precision": 0.8912037037037036,
118
+ "eval_recall": 0.8888888888888888,
119
+ "eval_runtime": 4.9756,
120
+ "eval_samples_per_second": 7.235,
121
+ "eval_steps_per_second": 0.201,
122
  "step": 18
123
  },
124
  {
125
  "epoch": 9.73,
126
  "learning_rate": 6.666666666666667e-05,
127
+ "loss": 0.0476,
128
  "step": 20
129
  },
130
  {
131
  "epoch": 9.73,
132
+ "eval_accuracy": 0.9166666666666666,
133
+ "eval_f1": 0.9160493827160493,
134
+ "eval_loss": 0.2704654335975647,
135
+ "eval_precision": 0.9169453734671126,
136
+ "eval_recall": 0.9166666666666666,
137
+ "eval_runtime": 6.2342,
138
+ "eval_samples_per_second": 5.775,
139
+ "eval_steps_per_second": 0.16,
140
  "step": 20
141
  },
142
  {
143
  "epoch": 10.73,
144
+ "eval_accuracy": 0.8888888888888888,
145
+ "eval_f1": 0.8888888888888888,
146
+ "eval_loss": 0.28197962045669556,
147
+ "eval_precision": 0.8888888888888888,
148
+ "eval_recall": 0.8888888888888888,
149
+ "eval_runtime": 5.1606,
150
+ "eval_samples_per_second": 6.976,
151
+ "eval_steps_per_second": 0.194,
152
  "step": 22
153
  },
154
  {
155
  "epoch": 11.73,
156
+ "eval_accuracy": 0.8611111111111112,
157
+ "eval_f1": 0.8618907600463335,
158
+ "eval_loss": 0.275021493434906,
159
+ "eval_precision": 0.8640211640211641,
160
+ "eval_recall": 0.8611111111111112,
161
+ "eval_runtime": 4.8026,
162
+ "eval_samples_per_second": 7.496,
163
+ "eval_steps_per_second": 0.208,
164
  "step": 24
165
  },
166
  {
167
  "epoch": 12.73,
168
+ "eval_accuracy": 0.8888888888888888,
169
+ "eval_f1": 0.8888888888888888,
170
+ "eval_loss": 0.2932831346988678,
171
+ "eval_precision": 0.8888888888888888,
172
+ "eval_recall": 0.8888888888888888,
173
+ "eval_runtime": 4.6825,
174
+ "eval_samples_per_second": 7.688,
175
+ "eval_steps_per_second": 0.214,
176
  "step": 26
177
  },
178
  {
179
  "epoch": 13.73,
180
+ "eval_accuracy": 0.8611111111111112,
181
+ "eval_f1": 0.8618907600463335,
182
+ "eval_loss": 0.2971099317073822,
183
+ "eval_precision": 0.8640211640211641,
184
+ "eval_recall": 0.8611111111111112,
185
+ "eval_runtime": 5.7546,
186
+ "eval_samples_per_second": 6.256,
187
+ "eval_steps_per_second": 0.174,
188
  "step": 28
189
  },
190
  {
191
  "epoch": 14.73,
192
  "learning_rate": 3.3333333333333335e-05,
193
+ "loss": 0.003,
194
  "step": 30
195
  },
196
  {
197
  "epoch": 14.73,
198
+ "eval_accuracy": 0.8888888888888888,
199
+ "eval_f1": 0.8888888888888888,
200
+ "eval_loss": 0.29043230414390564,
201
+ "eval_precision": 0.8888888888888888,
202
+ "eval_recall": 0.8888888888888888,
203
+ "eval_runtime": 9.7959,
204
+ "eval_samples_per_second": 3.675,
205
+ "eval_steps_per_second": 0.102,
206
  "step": 30
207
  },
208
  {
209
  "epoch": 15.73,
210
+ "eval_accuracy": 0.9166666666666666,
211
+ "eval_f1": 0.9160493827160493,
212
+ "eval_loss": 0.305411696434021,
213
+ "eval_precision": 0.9169453734671126,
214
+ "eval_recall": 0.9166666666666666,
215
+ "eval_runtime": 5.2177,
216
+ "eval_samples_per_second": 6.9,
217
+ "eval_steps_per_second": 0.192,
218
  "step": 32
219
  },
220
  {
221
  "epoch": 16.73,
222
  "eval_accuracy": 0.9166666666666666,
223
+ "eval_f1": 0.9160493827160493,
224
+ "eval_loss": 0.29818451404571533,
225
+ "eval_precision": 0.9169453734671126,
226
  "eval_recall": 0.9166666666666666,
227
+ "eval_runtime": 4.9626,
228
+ "eval_samples_per_second": 7.254,
229
+ "eval_steps_per_second": 0.202,
230
  "step": 34
231
  },
232
  {
233
  "epoch": 17.73,
234
  "eval_accuracy": 0.9166666666666666,
235
+ "eval_f1": 0.9160493827160493,
236
+ "eval_loss": 0.30663102865219116,
237
+ "eval_precision": 0.9169453734671126,
238
  "eval_recall": 0.9166666666666666,
239
+ "eval_runtime": 4.7376,
240
+ "eval_samples_per_second": 7.599,
241
+ "eval_steps_per_second": 0.211,
242
  "step": 36
243
  },
244
  {
245
  "epoch": 18.73,
246
+ "eval_accuracy": 0.8888888888888888,
247
+ "eval_f1": 0.8870308435525827,
248
+ "eval_loss": 0.30919915437698364,
249
+ "eval_precision": 0.8912037037037036,
250
+ "eval_recall": 0.8888888888888888,
251
+ "eval_runtime": 6.3085,
252
+ "eval_samples_per_second": 5.707,
253
+ "eval_steps_per_second": 0.159,
254
  "step": 38
255
  },
256
  {
257
  "epoch": 19.73,
258
  "learning_rate": 0.0,
259
+ "loss": 0.0013,
260
  "step": 40
261
  },
262
  {
263
  "epoch": 19.73,
264
+ "eval_accuracy": 0.8888888888888888,
265
+ "eval_f1": 0.8870308435525827,
266
+ "eval_loss": 0.3030144274234772,
267
+ "eval_precision": 0.8912037037037036,
268
+ "eval_recall": 0.8888888888888888,
269
+ "eval_runtime": 4.7135,
270
+ "eval_samples_per_second": 7.638,
271
+ "eval_steps_per_second": 0.212,
272
  "step": 40
273
  },
274
  {
275
  "epoch": 19.73,
276
  "step": 40,
277
+ "total_flos": 1.0463143975579976e+18,
278
+ "train_loss": 0.15636180818546563,
279
+ "train_runtime": 744.5374,
280
+ "train_samples_per_second": 18.374,
281
+ "train_steps_per_second": 0.054
282
  }
283
  ],
284
  "max_steps": 40,
285
  "num_train_epochs": 20,
286
+ "total_flos": 1.0463143975579976e+18,
287
  "trial_name": null,
288
  "trial_params": null
289
  }
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6e79370bcf724d04d0deeebfd7cb730102e73af0e10cf634a2778707017455f8
3
  size 3387
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7461b0cb9b4b366e4551fef7c56538fb52d6a1008d314c875bdc23478b386ac2
3
  size 3387