gokuls commited on
Commit
486c2fc
·
1 Parent(s): 13a6a59

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: stsb
19
  split: validation
@@ -21,7 +23,7 @@ model-index:
21
  metrics:
22
  - name: Spearmanr
23
  type: spearmanr
24
- value: 0.07003830521003132
25
  ---
26
 
27
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,12 +31,12 @@ should probably proofread and complete it, then remove this comment. -->
29
 
30
  # mobilebert_add_GLUE_Experiment_logit_kd_stsb_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: 1.2214
35
- - Pearson: 0.0666
36
- - Spearmanr: 0.0700
37
- - Combined Score: 0.0683
38
 
39
  ## Model description
40
 
 
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 STSB
19
  type: glue
20
  config: stsb
21
  split: validation
 
23
  metrics:
24
  - name: Spearmanr
25
  type: spearmanr
26
+ value: 0.041438738522880283
27
  ---
28
 
29
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
31
 
32
  # mobilebert_add_GLUE_Experiment_logit_kd_stsb_128
33
 
34
+ This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the GLUE STSB dataset.
35
  It achieves the following results on the evaluation set:
36
+ - Loss: 1.1505
37
+ - Pearson: 0.0470
38
+ - Spearmanr: 0.0414
39
+ - Combined Score: 0.0442
40
 
41
  ## Model description
42
 
all_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 8.0,
3
+ "eval_combined_score": 0.04421394291851102,
4
+ "eval_loss": 1.1504948139190674,
5
+ "eval_pearson": 0.04698914731414176,
6
+ "eval_runtime": 2.4499,
7
+ "eval_samples": 1500,
8
+ "eval_samples_per_second": 612.263,
9
+ "eval_spearmanr": 0.041438738522880283,
10
+ "eval_steps_per_second": 4.898,
11
+ "train_loss": 1.2339968151516385,
12
+ "train_runtime": 263.7899,
13
+ "train_samples": 5749,
14
+ "train_samples_per_second": 1089.693,
15
+ "train_steps_per_second": 8.53
16
+ }
eval_results.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 8.0,
3
+ "eval_combined_score": 0.04421394291851102,
4
+ "eval_loss": 1.1504948139190674,
5
+ "eval_pearson": 0.04698914731414176,
6
+ "eval_runtime": 2.4499,
7
+ "eval_samples": 1500,
8
+ "eval_samples_per_second": 612.263,
9
+ "eval_spearmanr": 0.041438738522880283,
10
+ "eval_steps_per_second": 4.898
11
+ }
logs/events.out.tfevents.1674975735.serv-3334.518319.20 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f3b3f433ffd2a688e393c0dace729ef0e54d27ddd95b58220e4af9cffed644bd
3
+ size 473
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 8.0,
3
+ "train_loss": 1.2339968151516385,
4
+ "train_runtime": 263.7899,
5
+ "train_samples": 5749,
6
+ "train_samples_per_second": 1089.693,
7
+ "train_steps_per_second": 8.53
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,161 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.1504948139190674,
3
+ "best_model_checkpoint": "mobilebert_add_GLUE_Experiment_logit_kd_stsb_128/checkpoint-135",
4
+ "epoch": 8.0,
5
+ "global_step": 360,
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": 2.524,
14
+ "step": 45
15
+ },
16
+ {
17
+ "epoch": 1.0,
18
+ "eval_combined_score": -0.01736734231487362,
19
+ "eval_loss": 1.360716700553894,
20
+ "eval_pearson": -0.00663663554659777,
21
+ "eval_runtime": 2.4294,
22
+ "eval_samples_per_second": 617.427,
23
+ "eval_spearmanr": -0.02809804908314947,
24
+ "eval_steps_per_second": 4.939,
25
+ "step": 45
26
+ },
27
+ {
28
+ "epoch": 2.0,
29
+ "learning_rate": 4.8e-05,
30
+ "loss": 1.0877,
31
+ "step": 90
32
+ },
33
+ {
34
+ "epoch": 2.0,
35
+ "eval_combined_score": 0.04715345879740872,
36
+ "eval_loss": 1.1729449033737183,
37
+ "eval_pearson": 0.04463194868937297,
38
+ "eval_runtime": 2.4375,
39
+ "eval_samples_per_second": 615.373,
40
+ "eval_spearmanr": 0.049674968905444455,
41
+ "eval_steps_per_second": 4.923,
42
+ "step": 90
43
+ },
44
+ {
45
+ "epoch": 3.0,
46
+ "learning_rate": 4.7e-05,
47
+ "loss": 1.0648,
48
+ "step": 135
49
+ },
50
+ {
51
+ "epoch": 3.0,
52
+ "eval_combined_score": 0.04421394291851102,
53
+ "eval_loss": 1.1504948139190674,
54
+ "eval_pearson": 0.04698914731414176,
55
+ "eval_runtime": 2.44,
56
+ "eval_samples_per_second": 614.756,
57
+ "eval_spearmanr": 0.041438738522880283,
58
+ "eval_steps_per_second": 4.918,
59
+ "step": 135
60
+ },
61
+ {
62
+ "epoch": 4.0,
63
+ "learning_rate": 4.600000000000001e-05,
64
+ "loss": 1.0737,
65
+ "step": 180
66
+ },
67
+ {
68
+ "epoch": 4.0,
69
+ "eval_combined_score": 0.046832979635148,
70
+ "eval_loss": 1.1564427614212036,
71
+ "eval_pearson": 0.04721941129058438,
72
+ "eval_runtime": 2.4235,
73
+ "eval_samples_per_second": 618.935,
74
+ "eval_spearmanr": 0.04644654797971162,
75
+ "eval_steps_per_second": 4.951,
76
+ "step": 180
77
+ },
78
+ {
79
+ "epoch": 5.0,
80
+ "learning_rate": 4.5e-05,
81
+ "loss": 1.0445,
82
+ "step": 225
83
+ },
84
+ {
85
+ "epoch": 5.0,
86
+ "eval_combined_score": 0.05520806466844213,
87
+ "eval_loss": 1.1971248388290405,
88
+ "eval_pearson": 0.052931152302893685,
89
+ "eval_runtime": 2.4387,
90
+ "eval_samples_per_second": 615.085,
91
+ "eval_spearmanr": 0.057484977033990574,
92
+ "eval_steps_per_second": 4.921,
93
+ "step": 225
94
+ },
95
+ {
96
+ "epoch": 6.0,
97
+ "learning_rate": 4.4000000000000006e-05,
98
+ "loss": 1.0296,
99
+ "step": 270
100
+ },
101
+ {
102
+ "epoch": 6.0,
103
+ "eval_combined_score": 0.06521746724840925,
104
+ "eval_loss": 1.172328233718872,
105
+ "eval_pearson": 0.05777555561817145,
106
+ "eval_runtime": 2.424,
107
+ "eval_samples_per_second": 618.82,
108
+ "eval_spearmanr": 0.07265937887864705,
109
+ "eval_steps_per_second": 4.951,
110
+ "step": 270
111
+ },
112
+ {
113
+ "epoch": 7.0,
114
+ "learning_rate": 4.3e-05,
115
+ "loss": 1.026,
116
+ "step": 315
117
+ },
118
+ {
119
+ "epoch": 7.0,
120
+ "eval_combined_score": 0.06137059081122272,
121
+ "eval_loss": 1.2734508514404297,
122
+ "eval_pearson": 0.062103519281422596,
123
+ "eval_runtime": 2.4342,
124
+ "eval_samples_per_second": 616.228,
125
+ "eval_spearmanr": 0.06063766234102283,
126
+ "eval_steps_per_second": 4.93,
127
+ "step": 315
128
+ },
129
+ {
130
+ "epoch": 8.0,
131
+ "learning_rate": 4.2e-05,
132
+ "loss": 1.0216,
133
+ "step": 360
134
+ },
135
+ {
136
+ "epoch": 8.0,
137
+ "eval_combined_score": 0.06830693724297929,
138
+ "eval_loss": 1.221414566040039,
139
+ "eval_pearson": 0.06657556927592724,
140
+ "eval_runtime": 2.4254,
141
+ "eval_samples_per_second": 618.464,
142
+ "eval_spearmanr": 0.07003830521003132,
143
+ "eval_steps_per_second": 4.948,
144
+ "step": 360
145
+ },
146
+ {
147
+ "epoch": 8.0,
148
+ "step": 360,
149
+ "total_flos": 1097941280358400.0,
150
+ "train_loss": 1.2339968151516385,
151
+ "train_runtime": 263.7899,
152
+ "train_samples_per_second": 1089.693,
153
+ "train_steps_per_second": 8.53
154
+ }
155
+ ],
156
+ "max_steps": 2250,
157
+ "num_train_epochs": 50,
158
+ "total_flos": 1097941280358400.0,
159
+ "trial_name": null,
160
+ "trial_params": null
161
+ }