gokulsrinivasagan commited on
Commit
6bb78d3
1 Parent(s): 2d728f4

End of training

Browse files
README.md CHANGED
@@ -1,13 +1,28 @@
1
  ---
2
  library_name: transformers
 
 
3
  base_model: gokulsrinivasagan/bert_tiny_lda_100_v1_book
4
  tags:
5
  - generated_from_trainer
 
 
6
  metrics:
7
  - accuracy
8
  model-index:
9
  - name: bert_tiny_lda_100_v1_book_sst2
10
- results: []
 
 
 
 
 
 
 
 
 
 
 
11
  ---
12
 
13
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # bert_tiny_lda_100_v1_book_sst2
17
 
18
- This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_100_v1_book](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_100_v1_book) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.4764
21
- - Accuracy: 0.8589
22
 
23
  ## Model description
24
 
 
1
  ---
2
  library_name: transformers
3
+ language:
4
+ - en
5
  base_model: gokulsrinivasagan/bert_tiny_lda_100_v1_book
6
  tags:
7
  - generated_from_trainer
8
+ datasets:
9
+ - glue
10
  metrics:
11
  - accuracy
12
  model-index:
13
  - name: bert_tiny_lda_100_v1_book_sst2
14
+ results:
15
+ - task:
16
+ name: Text Classification
17
+ type: text-classification
18
+ dataset:
19
+ name: GLUE SST2
20
+ type: glue
21
+ args: sst2
22
+ metrics:
23
+ - name: Accuracy
24
+ type: accuracy
25
+ value: 0.8555045871559633
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
30
 
31
  # bert_tiny_lda_100_v1_book_sst2
32
 
33
+ This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_100_v1_book](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_100_v1_book) on the GLUE SST2 dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.3489
36
+ - Accuracy: 0.8555
37
 
38
  ## Model description
39
 
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.0,
3
+ "eval_accuracy": 0.8555045871559633,
4
+ "eval_loss": 0.3489038348197937,
5
+ "eval_runtime": 0.283,
6
+ "eval_samples": 872,
7
+ "eval_samples_per_second": 3081.701,
8
+ "eval_steps_per_second": 14.136,
9
+ "total_flos": 1.0596790573590528e+16,
10
+ "train_loss": 0.1705179467345729,
11
+ "train_runtime": 228.7859,
12
+ "train_samples": 67349,
13
+ "train_samples_per_second": 14718.786,
14
+ "train_steps_per_second": 57.696
15
+ }
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.0,
3
+ "eval_accuracy": 0.8555045871559633,
4
+ "eval_loss": 0.3489038348197937,
5
+ "eval_runtime": 0.283,
6
+ "eval_samples": 872,
7
+ "eval_samples_per_second": 3081.701,
8
+ "eval_steps_per_second": 14.136
9
+ }
logs/events.out.tfevents.1733843227.ki-g0008.684565.29 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:44edf78beaad86a4f2a09f83892783df624da4123e0c1e46db2f10c2a27e551c
3
+ size 411
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.0,
3
+ "total_flos": 1.0596790573590528e+16,
4
+ "train_loss": 0.1705179467345729,
5
+ "train_runtime": 228.7859,
6
+ "train_samples": 67349,
7
+ "train_samples_per_second": 14718.786,
8
+ "train_steps_per_second": 57.696
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,147 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.3489038348197937,
3
+ "best_model_checkpoint": "bert_tiny_lda_100_v1_book_sst2/checkpoint-264",
4
+ "epoch": 6.0,
5
+ "eval_steps": 500,
6
+ "global_step": 1584,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 1.0,
13
+ "grad_norm": 8.271644592285156,
14
+ "learning_rate": 4.9e-05,
15
+ "loss": 0.3634,
16
+ "step": 264
17
+ },
18
+ {
19
+ "epoch": 1.0,
20
+ "eval_accuracy": 0.8555045871559633,
21
+ "eval_loss": 0.3489038348197937,
22
+ "eval_runtime": 0.277,
23
+ "eval_samples_per_second": 3148.234,
24
+ "eval_steps_per_second": 14.441,
25
+ "step": 264
26
+ },
27
+ {
28
+ "epoch": 2.0,
29
+ "grad_norm": 15.306727409362793,
30
+ "learning_rate": 4.8e-05,
31
+ "loss": 0.2189,
32
+ "step": 528
33
+ },
34
+ {
35
+ "epoch": 2.0,
36
+ "eval_accuracy": 0.8600917431192661,
37
+ "eval_loss": 0.36337217688560486,
38
+ "eval_runtime": 0.3273,
39
+ "eval_samples_per_second": 2664.447,
40
+ "eval_steps_per_second": 12.222,
41
+ "step": 528
42
+ },
43
+ {
44
+ "epoch": 3.0,
45
+ "grad_norm": 6.631307125091553,
46
+ "learning_rate": 4.7e-05,
47
+ "loss": 0.1528,
48
+ "step": 792
49
+ },
50
+ {
51
+ "epoch": 3.0,
52
+ "eval_accuracy": 0.8646788990825688,
53
+ "eval_loss": 0.4506845772266388,
54
+ "eval_runtime": 0.2825,
55
+ "eval_samples_per_second": 3086.85,
56
+ "eval_steps_per_second": 14.16,
57
+ "step": 792
58
+ },
59
+ {
60
+ "epoch": 4.0,
61
+ "grad_norm": 2.8820979595184326,
62
+ "learning_rate": 4.600000000000001e-05,
63
+ "loss": 0.1199,
64
+ "step": 1056
65
+ },
66
+ {
67
+ "epoch": 4.0,
68
+ "eval_accuracy": 0.8761467889908257,
69
+ "eval_loss": 0.382750540971756,
70
+ "eval_runtime": 0.2751,
71
+ "eval_samples_per_second": 3169.237,
72
+ "eval_steps_per_second": 14.538,
73
+ "step": 1056
74
+ },
75
+ {
76
+ "epoch": 5.0,
77
+ "grad_norm": 2.706533193588257,
78
+ "learning_rate": 4.5e-05,
79
+ "loss": 0.094,
80
+ "step": 1320
81
+ },
82
+ {
83
+ "epoch": 5.0,
84
+ "eval_accuracy": 0.8727064220183486,
85
+ "eval_loss": 0.3957236707210541,
86
+ "eval_runtime": 0.2958,
87
+ "eval_samples_per_second": 2947.786,
88
+ "eval_steps_per_second": 13.522,
89
+ "step": 1320
90
+ },
91
+ {
92
+ "epoch": 6.0,
93
+ "grad_norm": 4.119465351104736,
94
+ "learning_rate": 4.4000000000000006e-05,
95
+ "loss": 0.0742,
96
+ "step": 1584
97
+ },
98
+ {
99
+ "epoch": 6.0,
100
+ "eval_accuracy": 0.8589449541284404,
101
+ "eval_loss": 0.47635790705680847,
102
+ "eval_runtime": 0.3084,
103
+ "eval_samples_per_second": 2827.358,
104
+ "eval_steps_per_second": 12.97,
105
+ "step": 1584
106
+ },
107
+ {
108
+ "epoch": 6.0,
109
+ "step": 1584,
110
+ "total_flos": 1.0596790573590528e+16,
111
+ "train_loss": 0.1705179467345729,
112
+ "train_runtime": 228.7859,
113
+ "train_samples_per_second": 14718.786,
114
+ "train_steps_per_second": 57.696
115
+ }
116
+ ],
117
+ "logging_steps": 1,
118
+ "max_steps": 13200,
119
+ "num_input_tokens_seen": 0,
120
+ "num_train_epochs": 50,
121
+ "save_steps": 500,
122
+ "stateful_callbacks": {
123
+ "EarlyStoppingCallback": {
124
+ "args": {
125
+ "early_stopping_patience": 5,
126
+ "early_stopping_threshold": 0.0
127
+ },
128
+ "attributes": {
129
+ "early_stopping_patience_counter": 5
130
+ }
131
+ },
132
+ "TrainerControl": {
133
+ "args": {
134
+ "should_epoch_stop": false,
135
+ "should_evaluate": false,
136
+ "should_log": false,
137
+ "should_save": true,
138
+ "should_training_stop": true
139
+ },
140
+ "attributes": {}
141
+ }
142
+ },
143
+ "total_flos": 1.0596790573590528e+16,
144
+ "train_batch_size": 256,
145
+ "trial_name": null,
146
+ "trial_params": null
147
+ }