JeremiahZ commited on
Commit
4feca7f
1 Parent(s): 9db11ec

End of training

Browse files
README.md CHANGED
@@ -1,4 +1,8 @@
1
  ---
 
 
 
 
2
  tags:
3
  - generated_from_trainer
4
  datasets:
@@ -16,11 +20,11 @@ model-index:
16
  type: imdb
17
  config: plain_text
18
  split: test
19
- args: plain_text
20
  metrics:
21
  - name: Accuracy
22
  type: accuracy
23
- value: 0.8766
24
  ---
25
 
26
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -28,10 +32,10 @@ should probably proofread and complete it, then remove this comment. -->
28
 
29
  # imdb_distilbert-base-uncased
30
 
31
- This model was trained from scratch on the imdb dataset.
32
  It achieves the following results on the evaluation set:
33
- - Loss: 0.3141
34
- - Accuracy: 0.8766
35
 
36
  ## Model description
37
 
 
1
  ---
2
+ language:
3
+ - en
4
+ license: apache-2.0
5
+ base_model: distilbert-base-uncased
6
  tags:
7
  - generated_from_trainer
8
  datasets:
 
20
  type: imdb
21
  config: plain_text
22
  split: test
23
+ args: imdb
24
  metrics:
25
  - name: Accuracy
26
  type: accuracy
27
+ value: 0.87736
28
  ---
29
 
30
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
32
 
33
  # imdb_distilbert-base-uncased
34
 
35
+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset.
36
  It achieves the following results on the evaluation set:
37
+ - Loss: 0.2911
38
+ - Accuracy: 0.8774
39
 
40
  ## Model description
41
 
all_results.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_accuracy": 0.87736,
4
+ "eval_loss": 0.29114434123039246,
5
+ "eval_runtime": 30.1027,
6
+ "eval_samples": 25000,
7
+ "eval_samples_per_second": 830.49,
8
+ "eval_steps_per_second": 12.989,
9
+ "train_loss": 0.2856195556334929,
10
+ "train_runtime": 750.4873,
11
+ "train_samples": 25000,
12
+ "train_samples_per_second": 99.935,
13
+ "train_steps_per_second": 1.563
14
+ }
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_accuracy": 0.87736,
4
+ "eval_loss": 0.29114434123039246,
5
+ "eval_runtime": 30.1027,
6
+ "eval_samples": 25000,
7
+ "eval_samples_per_second": 830.49,
8
+ "eval_steps_per_second": 12.989
9
+ }
runs/Nov03_19-55-46_d11-03.hpc.usc.edu/events.out.tfevents.1699067474.d11-03.hpc.usc.edu.198644.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9606858c156010c214e66adfef6fbd938183d24085282d019aa481507eb29126
3
+ size 411
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "train_loss": 0.2856195556334929,
4
+ "train_runtime": 750.4873,
5
+ "train_samples": 25000,
6
+ "train_samples_per_second": 99.935,
7
+ "train_steps_per_second": 1.563
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,259 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.87736,
3
+ "best_model_checkpoint": "outputs/checkpoint-702",
4
+ "epoch": 3.0,
5
+ "eval_steps": 78,
6
+ "global_step": 1173,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0,
13
+ "learning_rate": 1.6949152542372883e-07,
14
+ "loss": 0.6918,
15
+ "step": 1
16
+ },
17
+ {
18
+ "epoch": 0.2,
19
+ "learning_rate": 1.3220338983050848e-05,
20
+ "loss": 0.6487,
21
+ "step": 78
22
+ },
23
+ {
24
+ "epoch": 0.2,
25
+ "eval_accuracy": 0.81168,
26
+ "eval_loss": 0.4401787221431732,
27
+ "eval_runtime": 30.2854,
28
+ "eval_samples_per_second": 825.48,
29
+ "eval_steps_per_second": 12.911,
30
+ "step": 78
31
+ },
32
+ {
33
+ "epoch": 0.4,
34
+ "learning_rate": 1.9279620853080568e-05,
35
+ "loss": 0.402,
36
+ "step": 156
37
+ },
38
+ {
39
+ "epoch": 0.4,
40
+ "eval_accuracy": 0.8416,
41
+ "eval_loss": 0.356289267539978,
42
+ "eval_runtime": 30.4052,
43
+ "eval_samples_per_second": 822.228,
44
+ "eval_steps_per_second": 12.86,
45
+ "step": 156
46
+ },
47
+ {
48
+ "epoch": 0.6,
49
+ "learning_rate": 1.780094786729858e-05,
50
+ "loss": 0.3528,
51
+ "step": 234
52
+ },
53
+ {
54
+ "epoch": 0.6,
55
+ "eval_accuracy": 0.8434,
56
+ "eval_loss": 0.3521649241447449,
57
+ "eval_runtime": 30.6429,
58
+ "eval_samples_per_second": 815.849,
59
+ "eval_steps_per_second": 12.76,
60
+ "step": 234
61
+ },
62
+ {
63
+ "epoch": 0.8,
64
+ "learning_rate": 1.632227488151659e-05,
65
+ "loss": 0.3362,
66
+ "step": 312
67
+ },
68
+ {
69
+ "epoch": 0.8,
70
+ "eval_accuracy": 0.86516,
71
+ "eval_loss": 0.30993545055389404,
72
+ "eval_runtime": 30.6544,
73
+ "eval_samples_per_second": 815.543,
74
+ "eval_steps_per_second": 12.755,
75
+ "step": 312
76
+ },
77
+ {
78
+ "epoch": 1.0,
79
+ "learning_rate": 1.4843601895734598e-05,
80
+ "loss": 0.3184,
81
+ "step": 390
82
+ },
83
+ {
84
+ "epoch": 1.0,
85
+ "eval_accuracy": 0.86996,
86
+ "eval_loss": 0.30280688405036926,
87
+ "eval_runtime": 30.6512,
88
+ "eval_samples_per_second": 815.629,
89
+ "eval_steps_per_second": 12.756,
90
+ "step": 390
91
+ },
92
+ {
93
+ "epoch": 1.2,
94
+ "learning_rate": 1.3364928909952607e-05,
95
+ "loss": 0.265,
96
+ "step": 468
97
+ },
98
+ {
99
+ "epoch": 1.2,
100
+ "eval_accuracy": 0.8738,
101
+ "eval_loss": 0.305215448141098,
102
+ "eval_runtime": 30.5331,
103
+ "eval_samples_per_second": 818.783,
104
+ "eval_steps_per_second": 12.806,
105
+ "step": 468
106
+ },
107
+ {
108
+ "epoch": 1.4,
109
+ "learning_rate": 1.1886255924170618e-05,
110
+ "loss": 0.2593,
111
+ "step": 546
112
+ },
113
+ {
114
+ "epoch": 1.4,
115
+ "eval_accuracy": 0.87348,
116
+ "eval_loss": 0.29833072423934937,
117
+ "eval_runtime": 30.6351,
118
+ "eval_samples_per_second": 816.057,
119
+ "eval_steps_per_second": 12.763,
120
+ "step": 546
121
+ },
122
+ {
123
+ "epoch": 1.6,
124
+ "learning_rate": 1.0407582938388628e-05,
125
+ "loss": 0.2537,
126
+ "step": 624
127
+ },
128
+ {
129
+ "epoch": 1.6,
130
+ "eval_accuracy": 0.87536,
131
+ "eval_loss": 0.2977478802204132,
132
+ "eval_runtime": 30.5918,
133
+ "eval_samples_per_second": 817.213,
134
+ "eval_steps_per_second": 12.781,
135
+ "step": 624
136
+ },
137
+ {
138
+ "epoch": 1.8,
139
+ "learning_rate": 8.928909952606636e-06,
140
+ "loss": 0.2558,
141
+ "step": 702
142
+ },
143
+ {
144
+ "epoch": 1.8,
145
+ "eval_accuracy": 0.87736,
146
+ "eval_loss": 0.29114434123039246,
147
+ "eval_runtime": 30.9298,
148
+ "eval_samples_per_second": 808.283,
149
+ "eval_steps_per_second": 12.642,
150
+ "step": 702
151
+ },
152
+ {
153
+ "epoch": 1.99,
154
+ "learning_rate": 7.450236966824646e-06,
155
+ "loss": 0.2476,
156
+ "step": 780
157
+ },
158
+ {
159
+ "epoch": 1.99,
160
+ "eval_accuracy": 0.87508,
161
+ "eval_loss": 0.2907171845436096,
162
+ "eval_runtime": 30.4929,
163
+ "eval_samples_per_second": 819.862,
164
+ "eval_steps_per_second": 12.823,
165
+ "step": 780
166
+ },
167
+ {
168
+ "epoch": 2.19,
169
+ "learning_rate": 5.971563981042654e-06,
170
+ "loss": 0.1941,
171
+ "step": 858
172
+ },
173
+ {
174
+ "epoch": 2.19,
175
+ "eval_accuracy": 0.87736,
176
+ "eval_loss": 0.3151108920574188,
177
+ "eval_runtime": 30.5003,
178
+ "eval_samples_per_second": 819.664,
179
+ "eval_steps_per_second": 12.82,
180
+ "step": 858
181
+ },
182
+ {
183
+ "epoch": 2.39,
184
+ "learning_rate": 4.492890995260664e-06,
185
+ "loss": 0.1873,
186
+ "step": 936
187
+ },
188
+ {
189
+ "epoch": 2.39,
190
+ "eval_accuracy": 0.87644,
191
+ "eval_loss": 0.31038883328437805,
192
+ "eval_runtime": 30.5889,
193
+ "eval_samples_per_second": 817.29,
194
+ "eval_steps_per_second": 12.782,
195
+ "step": 936
196
+ },
197
+ {
198
+ "epoch": 2.59,
199
+ "learning_rate": 3.0142180094786734e-06,
200
+ "loss": 0.1869,
201
+ "step": 1014
202
+ },
203
+ {
204
+ "epoch": 2.59,
205
+ "eval_accuracy": 0.87708,
206
+ "eval_loss": 0.3180868625640869,
207
+ "eval_runtime": 30.5304,
208
+ "eval_samples_per_second": 818.855,
209
+ "eval_steps_per_second": 12.807,
210
+ "step": 1014
211
+ },
212
+ {
213
+ "epoch": 2.79,
214
+ "learning_rate": 1.5355450236966826e-06,
215
+ "loss": 0.1807,
216
+ "step": 1092
217
+ },
218
+ {
219
+ "epoch": 2.79,
220
+ "eval_accuracy": 0.87636,
221
+ "eval_loss": 0.3148181140422821,
222
+ "eval_runtime": 30.541,
223
+ "eval_samples_per_second": 818.572,
224
+ "eval_steps_per_second": 12.802,
225
+ "step": 1092
226
+ },
227
+ {
228
+ "epoch": 2.99,
229
+ "learning_rate": 5.6872037914691944e-08,
230
+ "loss": 0.1967,
231
+ "step": 1170
232
+ },
233
+ {
234
+ "epoch": 2.99,
235
+ "eval_accuracy": 0.8766,
236
+ "eval_loss": 0.3140537142753601,
237
+ "eval_runtime": 30.4059,
238
+ "eval_samples_per_second": 822.21,
239
+ "eval_steps_per_second": 12.859,
240
+ "step": 1170
241
+ },
242
+ {
243
+ "epoch": 3.0,
244
+ "step": 1173,
245
+ "total_flos": 2483763724800000.0,
246
+ "train_loss": 0.2856195556334929,
247
+ "train_runtime": 750.4873,
248
+ "train_samples_per_second": 99.935,
249
+ "train_steps_per_second": 1.563
250
+ }
251
+ ],
252
+ "logging_steps": 78,
253
+ "max_steps": 1173,
254
+ "num_train_epochs": 3,
255
+ "save_steps": 78,
256
+ "total_flos": 2483763724800000.0,
257
+ "trial_name": null,
258
+ "trial_params": null
259
+ }