gokuls commited on
Commit
8c78512
1 Parent(s): 920f03b

End of training

Browse files
README.md CHANGED
@@ -1,4 +1,6 @@
1
  ---
 
 
2
  license: apache-2.0
3
  tags:
4
  - generated_from_trainer
@@ -13,7 +15,7 @@ model-index:
13
  name: Text Classification
14
  type: text-classification
15
  dataset:
16
- name: glue
17
  type: glue
18
  config: wnli
19
  split: validation
@@ -29,9 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
29
 
30
  # mobilebert_sa_GLUE_Experiment_wnli_128
31
 
32
- This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the glue dataset.
33
  It achieves the following results on the evaluation set:
34
- - Loss: 0.6918
35
  - Accuracy: 0.5634
36
 
37
  ## Model description
 
1
  ---
2
+ language:
3
+ - en
4
  license: apache-2.0
5
  tags:
6
  - generated_from_trainer
 
15
  name: Text Classification
16
  type: text-classification
17
  dataset:
18
+ name: GLUE WNLI
19
  type: glue
20
  config: wnli
21
  split: validation
 
31
 
32
  # mobilebert_sa_GLUE_Experiment_wnli_128
33
 
34
+ This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the GLUE WNLI dataset.
35
  It achieves the following results on the evaluation set:
36
+ - Loss: 0.6907
37
  - Accuracy: 0.5634
38
 
39
  ## Model description
all_results.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 12.0,
3
+ "eval_accuracy": 0.5633802816901409,
4
+ "eval_loss": 0.690684974193573,
5
+ "eval_runtime": 0.1748,
6
+ "eval_samples": 71,
7
+ "eval_samples_per_second": 406.198,
8
+ "eval_steps_per_second": 5.721,
9
+ "train_loss": 0.6931104858716329,
10
+ "train_runtime": 100.6647,
11
+ "train_samples": 635,
12
+ "train_samples_per_second": 315.404,
13
+ "train_steps_per_second": 2.483
14
+ }
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 12.0,
3
+ "eval_accuracy": 0.5633802816901409,
4
+ "eval_loss": 0.690684974193573,
5
+ "eval_runtime": 0.1748,
6
+ "eval_samples": 71,
7
+ "eval_samples_per_second": 406.198,
8
+ "eval_steps_per_second": 5.721
9
+ }
logs/events.out.tfevents.1674685327.garda.227848.23 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:738dc560d9e7d4e397af9adb4f7858d845fc5de9ec14399cb092558cebf40234
3
+ size 357
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 12.0,
3
+ "train_loss": 0.6931104858716329,
4
+ "train_runtime": 100.6647,
5
+ "train_samples": 635,
6
+ "train_samples_per_second": 315.404,
7
+ "train_steps_per_second": 2.483
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,205 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.690684974193573,
3
+ "best_model_checkpoint": "mobilebert_sa_GLUE_Experiment_wnli_128/checkpoint-35",
4
+ "epoch": 12.0,
5
+ "global_step": 60,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 1.0,
12
+ "learning_rate": 4.9e-05,
13
+ "loss": 0.6938,
14
+ "step": 5
15
+ },
16
+ {
17
+ "epoch": 1.0,
18
+ "eval_accuracy": 0.5633802816901409,
19
+ "eval_loss": 0.69107985496521,
20
+ "eval_runtime": 0.1722,
21
+ "eval_samples_per_second": 412.297,
22
+ "eval_steps_per_second": 5.807,
23
+ "step": 5
24
+ },
25
+ {
26
+ "epoch": 2.0,
27
+ "learning_rate": 4.8e-05,
28
+ "loss": 0.6933,
29
+ "step": 10
30
+ },
31
+ {
32
+ "epoch": 2.0,
33
+ "eval_accuracy": 0.5633802816901409,
34
+ "eval_loss": 0.6917158961296082,
35
+ "eval_runtime": 0.2039,
36
+ "eval_samples_per_second": 348.164,
37
+ "eval_steps_per_second": 4.904,
38
+ "step": 10
39
+ },
40
+ {
41
+ "epoch": 3.0,
42
+ "learning_rate": 4.7e-05,
43
+ "loss": 0.6931,
44
+ "step": 15
45
+ },
46
+ {
47
+ "epoch": 3.0,
48
+ "eval_accuracy": 0.5633802816901409,
49
+ "eval_loss": 0.6920373439788818,
50
+ "eval_runtime": 0.1716,
51
+ "eval_samples_per_second": 413.718,
52
+ "eval_steps_per_second": 5.827,
53
+ "step": 15
54
+ },
55
+ {
56
+ "epoch": 4.0,
57
+ "learning_rate": 4.600000000000001e-05,
58
+ "loss": 0.693,
59
+ "step": 20
60
+ },
61
+ {
62
+ "epoch": 4.0,
63
+ "eval_accuracy": 0.5633802816901409,
64
+ "eval_loss": 0.6915233135223389,
65
+ "eval_runtime": 0.1715,
66
+ "eval_samples_per_second": 414.07,
67
+ "eval_steps_per_second": 5.832,
68
+ "step": 20
69
+ },
70
+ {
71
+ "epoch": 5.0,
72
+ "learning_rate": 4.5e-05,
73
+ "loss": 0.693,
74
+ "step": 25
75
+ },
76
+ {
77
+ "epoch": 5.0,
78
+ "eval_accuracy": 0.5633802816901409,
79
+ "eval_loss": 0.6910518407821655,
80
+ "eval_runtime": 0.2025,
81
+ "eval_samples_per_second": 350.629,
82
+ "eval_steps_per_second": 4.938,
83
+ "step": 25
84
+ },
85
+ {
86
+ "epoch": 6.0,
87
+ "learning_rate": 4.4000000000000006e-05,
88
+ "loss": 0.693,
89
+ "step": 30
90
+ },
91
+ {
92
+ "epoch": 6.0,
93
+ "eval_accuracy": 0.5633802816901409,
94
+ "eval_loss": 0.6909132599830627,
95
+ "eval_runtime": 0.1719,
96
+ "eval_samples_per_second": 413.098,
97
+ "eval_steps_per_second": 5.818,
98
+ "step": 30
99
+ },
100
+ {
101
+ "epoch": 7.0,
102
+ "learning_rate": 4.3e-05,
103
+ "loss": 0.693,
104
+ "step": 35
105
+ },
106
+ {
107
+ "epoch": 7.0,
108
+ "eval_accuracy": 0.5633802816901409,
109
+ "eval_loss": 0.690684974193573,
110
+ "eval_runtime": 0.1714,
111
+ "eval_samples_per_second": 414.154,
112
+ "eval_steps_per_second": 5.833,
113
+ "step": 35
114
+ },
115
+ {
116
+ "epoch": 8.0,
117
+ "learning_rate": 4.2e-05,
118
+ "loss": 0.693,
119
+ "step": 40
120
+ },
121
+ {
122
+ "epoch": 8.0,
123
+ "eval_accuracy": 0.5633802816901409,
124
+ "eval_loss": 0.6910773515701294,
125
+ "eval_runtime": 0.1726,
126
+ "eval_samples_per_second": 411.386,
127
+ "eval_steps_per_second": 5.794,
128
+ "step": 40
129
+ },
130
+ {
131
+ "epoch": 9.0,
132
+ "learning_rate": 4.1e-05,
133
+ "loss": 0.6931,
134
+ "step": 45
135
+ },
136
+ {
137
+ "epoch": 9.0,
138
+ "eval_accuracy": 0.5633802816901409,
139
+ "eval_loss": 0.6907783150672913,
140
+ "eval_runtime": 0.173,
141
+ "eval_samples_per_second": 410.457,
142
+ "eval_steps_per_second": 5.781,
143
+ "step": 45
144
+ },
145
+ {
146
+ "epoch": 10.0,
147
+ "learning_rate": 4e-05,
148
+ "loss": 0.693,
149
+ "step": 50
150
+ },
151
+ {
152
+ "epoch": 10.0,
153
+ "eval_accuracy": 0.5633802816901409,
154
+ "eval_loss": 0.6911693811416626,
155
+ "eval_runtime": 0.1716,
156
+ "eval_samples_per_second": 413.752,
157
+ "eval_steps_per_second": 5.827,
158
+ "step": 50
159
+ },
160
+ {
161
+ "epoch": 11.0,
162
+ "learning_rate": 3.9000000000000006e-05,
163
+ "loss": 0.693,
164
+ "step": 55
165
+ },
166
+ {
167
+ "epoch": 11.0,
168
+ "eval_accuracy": 0.5633802816901409,
169
+ "eval_loss": 0.6917507648468018,
170
+ "eval_runtime": 0.1721,
171
+ "eval_samples_per_second": 412.624,
172
+ "eval_steps_per_second": 5.812,
173
+ "step": 55
174
+ },
175
+ {
176
+ "epoch": 12.0,
177
+ "learning_rate": 3.8e-05,
178
+ "loss": 0.693,
179
+ "step": 60
180
+ },
181
+ {
182
+ "epoch": 12.0,
183
+ "eval_accuracy": 0.5633802816901409,
184
+ "eval_loss": 0.691800057888031,
185
+ "eval_runtime": 0.1714,
186
+ "eval_samples_per_second": 414.313,
187
+ "eval_steps_per_second": 5.835,
188
+ "step": 60
189
+ },
190
+ {
191
+ "epoch": 12.0,
192
+ "step": 60,
193
+ "total_flos": 181619612712960.0,
194
+ "train_loss": 0.6931104858716329,
195
+ "train_runtime": 100.6647,
196
+ "train_samples_per_second": 315.404,
197
+ "train_steps_per_second": 2.483
198
+ }
199
+ ],
200
+ "max_steps": 250,
201
+ "num_train_epochs": 50,
202
+ "total_flos": 181619612712960.0,
203
+ "trial_name": null,
204
+ "trial_params": null
205
+ }