gokuls commited on
Commit
70cbb91
1 Parent(s): 7d61b14

End of training

Browse files
README.md CHANGED
@@ -1,4 +1,6 @@
1
  ---
 
 
2
  license: apache-2.0
3
  tags:
4
  - generated_from_trainer
@@ -14,7 +16,7 @@ model-index:
14
  name: Text Classification
15
  type: text-classification
16
  dataset:
17
- name: glue
18
  type: glue
19
  config: mrpc
20
  split: validation
@@ -33,9 +35,9 @@ should probably proofread and complete it, then remove this comment. -->
33
 
34
  # mobilebert_add_GLUE_Experiment_logit_kd_mrpc
35
 
36
- This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the glue dataset.
37
  It achieves the following results on the evaluation set:
38
- - Loss: 0.5660
39
  - Accuracy: 0.6838
40
  - F1: 0.8122
41
  - Combined Score: 0.7480
 
1
  ---
2
+ language:
3
+ - en
4
  license: apache-2.0
5
  tags:
6
  - generated_from_trainer
 
16
  name: Text Classification
17
  type: text-classification
18
  dataset:
19
+ name: GLUE MRPC
20
  type: glue
21
  config: mrpc
22
  split: validation
 
35
 
36
  # mobilebert_add_GLUE_Experiment_logit_kd_mrpc
37
 
38
+ This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the GLUE MRPC dataset.
39
  It achieves the following results on the evaluation set:
40
+ - Loss: 0.5529
41
  - Accuracy: 0.6838
42
  - F1: 0.8122
43
  - Combined Score: 0.7480
all_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.0,
3
+ "eval_accuracy": 0.6838235294117647,
4
+ "eval_combined_score": 0.7480253018237863,
5
+ "eval_f1": 0.8122270742358079,
6
+ "eval_loss": 0.5529410243034363,
7
+ "eval_runtime": 0.9959,
8
+ "eval_samples": 408,
9
+ "eval_samples_per_second": 409.698,
10
+ "eval_steps_per_second": 4.017,
11
+ "train_loss": 0.5956195451290671,
12
+ "train_runtime": 327.2529,
13
+ "train_samples": 3668,
14
+ "train_samples_per_second": 560.423,
15
+ "train_steps_per_second": 4.431
16
+ }
eval_results.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.0,
3
+ "eval_accuracy": 0.6838235294117647,
4
+ "eval_combined_score": 0.7480253018237863,
5
+ "eval_f1": 0.8122270742358079,
6
+ "eval_loss": 0.5529410243034363,
7
+ "eval_runtime": 0.9959,
8
+ "eval_samples": 408,
9
+ "eval_samples_per_second": 409.698,
10
+ "eval_steps_per_second": 4.017
11
+ }
logs/events.out.tfevents.1674949553.serv-3332.3626077.5 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3d223e53a2c3b12b965494c35922f09acfda7615410b299c098c8ec2c2400370
3
+ size 467
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 9.0,
3
+ "train_loss": 0.5956195451290671,
4
+ "train_runtime": 327.2529,
5
+ "train_samples": 3668,
6
+ "train_samples_per_second": 560.423,
7
+ "train_steps_per_second": 4.431
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,178 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.5529410243034363,
3
+ "best_model_checkpoint": "mobilebert_add_GLUE_Experiment_logit_kd_mrpc/checkpoint-116",
4
+ "epoch": 9.0,
5
+ "global_step": 261,
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": 0.6239,
14
+ "step": 29
15
+ },
16
+ {
17
+ "epoch": 1.0,
18
+ "eval_accuracy": 0.6838235294117647,
19
+ "eval_combined_score": 0.7480253018237863,
20
+ "eval_f1": 0.8122270742358079,
21
+ "eval_loss": 0.555836021900177,
22
+ "eval_runtime": 0.9841,
23
+ "eval_samples_per_second": 414.573,
24
+ "eval_steps_per_second": 4.064,
25
+ "step": 29
26
+ },
27
+ {
28
+ "epoch": 2.0,
29
+ "learning_rate": 4.8e-05,
30
+ "loss": 0.6109,
31
+ "step": 58
32
+ },
33
+ {
34
+ "epoch": 2.0,
35
+ "eval_accuracy": 0.6838235294117647,
36
+ "eval_combined_score": 0.7480253018237863,
37
+ "eval_f1": 0.8122270742358079,
38
+ "eval_loss": 0.5552574396133423,
39
+ "eval_runtime": 0.9796,
40
+ "eval_samples_per_second": 416.498,
41
+ "eval_steps_per_second": 4.083,
42
+ "step": 58
43
+ },
44
+ {
45
+ "epoch": 3.0,
46
+ "learning_rate": 4.7e-05,
47
+ "loss": 0.6095,
48
+ "step": 87
49
+ },
50
+ {
51
+ "epoch": 3.0,
52
+ "eval_accuracy": 0.6838235294117647,
53
+ "eval_combined_score": 0.7480253018237863,
54
+ "eval_f1": 0.8122270742358079,
55
+ "eval_loss": 0.5543215274810791,
56
+ "eval_runtime": 0.9675,
57
+ "eval_samples_per_second": 421.725,
58
+ "eval_steps_per_second": 4.135,
59
+ "step": 87
60
+ },
61
+ {
62
+ "epoch": 4.0,
63
+ "learning_rate": 4.600000000000001e-05,
64
+ "loss": 0.6072,
65
+ "step": 116
66
+ },
67
+ {
68
+ "epoch": 4.0,
69
+ "eval_accuracy": 0.6838235294117647,
70
+ "eval_combined_score": 0.7480253018237863,
71
+ "eval_f1": 0.8122270742358079,
72
+ "eval_loss": 0.5529410243034363,
73
+ "eval_runtime": 0.9661,
74
+ "eval_samples_per_second": 422.334,
75
+ "eval_steps_per_second": 4.141,
76
+ "step": 116
77
+ },
78
+ {
79
+ "epoch": 5.0,
80
+ "learning_rate": 4.5e-05,
81
+ "loss": 0.5996,
82
+ "step": 145
83
+ },
84
+ {
85
+ "epoch": 5.0,
86
+ "eval_accuracy": 0.6838235294117647,
87
+ "eval_combined_score": 0.7480253018237863,
88
+ "eval_f1": 0.8122270742358079,
89
+ "eval_loss": 0.5556313395500183,
90
+ "eval_runtime": 0.9685,
91
+ "eval_samples_per_second": 421.291,
92
+ "eval_steps_per_second": 4.13,
93
+ "step": 145
94
+ },
95
+ {
96
+ "epoch": 6.0,
97
+ "learning_rate": 4.4000000000000006e-05,
98
+ "loss": 0.5884,
99
+ "step": 174
100
+ },
101
+ {
102
+ "epoch": 6.0,
103
+ "eval_accuracy": 0.6838235294117647,
104
+ "eval_combined_score": 0.7480253018237863,
105
+ "eval_f1": 0.8122270742358079,
106
+ "eval_loss": 0.5737412571907043,
107
+ "eval_runtime": 0.9732,
108
+ "eval_samples_per_second": 419.24,
109
+ "eval_steps_per_second": 4.11,
110
+ "step": 174
111
+ },
112
+ {
113
+ "epoch": 7.0,
114
+ "learning_rate": 4.3e-05,
115
+ "loss": 0.59,
116
+ "step": 203
117
+ },
118
+ {
119
+ "epoch": 7.0,
120
+ "eval_accuracy": 0.6838235294117647,
121
+ "eval_combined_score": 0.7480253018237863,
122
+ "eval_f1": 0.8122270742358079,
123
+ "eval_loss": 0.5704464912414551,
124
+ "eval_runtime": 0.9691,
125
+ "eval_samples_per_second": 421.002,
126
+ "eval_steps_per_second": 4.127,
127
+ "step": 203
128
+ },
129
+ {
130
+ "epoch": 8.0,
131
+ "learning_rate": 4.2e-05,
132
+ "loss": 0.5715,
133
+ "step": 232
134
+ },
135
+ {
136
+ "epoch": 8.0,
137
+ "eval_accuracy": 0.6813725490196079,
138
+ "eval_combined_score": 0.7459340879208827,
139
+ "eval_f1": 0.8104956268221574,
140
+ "eval_loss": 0.5706341862678528,
141
+ "eval_runtime": 0.9664,
142
+ "eval_samples_per_second": 422.182,
143
+ "eval_steps_per_second": 4.139,
144
+ "step": 232
145
+ },
146
+ {
147
+ "epoch": 9.0,
148
+ "learning_rate": 4.1e-05,
149
+ "loss": 0.5595,
150
+ "step": 261
151
+ },
152
+ {
153
+ "epoch": 9.0,
154
+ "eval_accuracy": 0.6838235294117647,
155
+ "eval_combined_score": 0.7480253018237863,
156
+ "eval_f1": 0.8122270742358079,
157
+ "eval_loss": 0.5660258531570435,
158
+ "eval_runtime": 0.9731,
159
+ "eval_samples_per_second": 419.288,
160
+ "eval_steps_per_second": 4.111,
161
+ "step": 261
162
+ },
163
+ {
164
+ "epoch": 9.0,
165
+ "step": 261,
166
+ "total_flos": 976507027587072.0,
167
+ "train_loss": 0.5956195451290671,
168
+ "train_runtime": 327.2529,
169
+ "train_samples_per_second": 560.423,
170
+ "train_steps_per_second": 4.431
171
+ }
172
+ ],
173
+ "max_steps": 1450,
174
+ "num_train_epochs": 50,
175
+ "total_flos": 976507027587072.0,
176
+ "trial_name": null,
177
+ "trial_params": null
178
+ }