Hartunka commited on
Commit
462d488
·
verified ·
1 Parent(s): 18ede5e

End of training

Browse files
README.md CHANGED
@@ -1,13 +1,28 @@
1
  ---
2
  library_name: transformers
 
 
3
  base_model: Hartunka/bert_base_rand_20_v2
4
  tags:
5
  - generated_from_trainer
 
 
6
  metrics:
7
  - accuracy
8
  model-index:
9
  - name: bert_base_rand_20_v2_wnli
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_base_rand_20_v2_wnli
17
 
18
- This model is a fine-tuned version of [Hartunka/bert_base_rand_20_v2](https://huggingface.co/Hartunka/bert_base_rand_20_v2) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.7656
21
- - Accuracy: 0.3521
22
 
23
  ## Model description
24
 
 
1
  ---
2
  library_name: transformers
3
+ language:
4
+ - en
5
  base_model: Hartunka/bert_base_rand_20_v2
6
  tags:
7
  - generated_from_trainer
8
+ datasets:
9
+ - glue
10
  metrics:
11
  - accuracy
12
  model-index:
13
  - name: bert_base_rand_20_v2_wnli
14
+ results:
15
+ - task:
16
+ name: Text Classification
17
+ type: text-classification
18
+ dataset:
19
+ name: GLUE WNLI
20
+ type: glue
21
+ args: wnli
22
+ metrics:
23
+ - name: Accuracy
24
+ type: accuracy
25
+ value: 0.5633802816901409
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
30
 
31
  # bert_base_rand_20_v2_wnli
32
 
33
+ This model is a fine-tuned version of [Hartunka/bert_base_rand_20_v2](https://huggingface.co/Hartunka/bert_base_rand_20_v2) on the GLUE WNLI dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.7117
36
+ - Accuracy: 0.5634
37
 
38
  ## Model description
39
 
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.0,
3
+ "eval_accuracy": 0.5633802816901409,
4
+ "eval_loss": 0.711735188961029,
5
+ "eval_runtime": 0.0743,
6
+ "eval_samples": 71,
7
+ "eval_samples_per_second": 956.057,
8
+ "eval_steps_per_second": 13.466,
9
+ "total_flos": 501226560460800.0,
10
+ "train_loss": 0.7080998553170098,
11
+ "train_runtime": 19.2495,
12
+ "train_samples": 635,
13
+ "train_samples_per_second": 1649.392,
14
+ "train_steps_per_second": 7.792
15
+ }
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.0,
3
+ "eval_accuracy": 0.5633802816901409,
4
+ "eval_loss": 0.711735188961029,
5
+ "eval_runtime": 0.0743,
6
+ "eval_samples": 71,
7
+ "eval_samples_per_second": 956.057,
8
+ "eval_steps_per_second": 13.466
9
+ }
logs/events.out.tfevents.1745490872.s_005_m.2892304.69 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0a5000fa842f6f320f23938a767adc04207cdc141f856d9f4779cf139b19113a
3
+ size 357
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.0,
3
+ "total_flos": 501226560460800.0,
4
+ "train_loss": 0.7080998553170098,
5
+ "train_runtime": 19.2495,
6
+ "train_samples": 635,
7
+ "train_samples_per_second": 1649.392,
8
+ "train_steps_per_second": 7.792
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,148 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": 3,
3
+ "best_metric": 0.711735188961029,
4
+ "best_model_checkpoint": "bert_base_rand_20_v2_wnli/checkpoint-3",
5
+ "epoch": 6.0,
6
+ "eval_steps": 500,
7
+ "global_step": 18,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 1.0,
14
+ "grad_norm": 2.1896302700042725,
15
+ "learning_rate": 4.9e-05,
16
+ "loss": 0.7328,
17
+ "step": 3
18
+ },
19
+ {
20
+ "epoch": 1.0,
21
+ "eval_accuracy": 0.5633802816901409,
22
+ "eval_loss": 0.711735188961029,
23
+ "eval_runtime": 0.0563,
24
+ "eval_samples_per_second": 1260.601,
25
+ "eval_steps_per_second": 17.755,
26
+ "step": 3
27
+ },
28
+ {
29
+ "epoch": 2.0,
30
+ "grad_norm": 1.27385413646698,
31
+ "learning_rate": 4.8e-05,
32
+ "loss": 0.7151,
33
+ "step": 6
34
+ },
35
+ {
36
+ "epoch": 2.0,
37
+ "eval_accuracy": 0.323943661971831,
38
+ "eval_loss": 0.717044472694397,
39
+ "eval_runtime": 0.0562,
40
+ "eval_samples_per_second": 1262.348,
41
+ "eval_steps_per_second": 17.78,
42
+ "step": 6
43
+ },
44
+ {
45
+ "epoch": 3.0,
46
+ "grad_norm": 2.328735828399658,
47
+ "learning_rate": 4.7e-05,
48
+ "loss": 0.7065,
49
+ "step": 9
50
+ },
51
+ {
52
+ "epoch": 3.0,
53
+ "eval_accuracy": 0.43661971830985913,
54
+ "eval_loss": 0.7503302097320557,
55
+ "eval_runtime": 0.0582,
56
+ "eval_samples_per_second": 1220.089,
57
+ "eval_steps_per_second": 17.184,
58
+ "step": 9
59
+ },
60
+ {
61
+ "epoch": 4.0,
62
+ "grad_norm": 1.6860625743865967,
63
+ "learning_rate": 4.600000000000001e-05,
64
+ "loss": 0.7009,
65
+ "step": 12
66
+ },
67
+ {
68
+ "epoch": 4.0,
69
+ "eval_accuracy": 0.5492957746478874,
70
+ "eval_loss": 0.7191351652145386,
71
+ "eval_runtime": 0.0549,
72
+ "eval_samples_per_second": 1292.544,
73
+ "eval_steps_per_second": 18.205,
74
+ "step": 12
75
+ },
76
+ {
77
+ "epoch": 5.0,
78
+ "grad_norm": 2.2746615409851074,
79
+ "learning_rate": 4.5e-05,
80
+ "loss": 0.698,
81
+ "step": 15
82
+ },
83
+ {
84
+ "epoch": 5.0,
85
+ "eval_accuracy": 0.43661971830985913,
86
+ "eval_loss": 0.7310189008712769,
87
+ "eval_runtime": 0.0757,
88
+ "eval_samples_per_second": 938.37,
89
+ "eval_steps_per_second": 13.216,
90
+ "step": 15
91
+ },
92
+ {
93
+ "epoch": 6.0,
94
+ "grad_norm": 1.7864902019500732,
95
+ "learning_rate": 4.4000000000000006e-05,
96
+ "loss": 0.6952,
97
+ "step": 18
98
+ },
99
+ {
100
+ "epoch": 6.0,
101
+ "eval_accuracy": 0.352112676056338,
102
+ "eval_loss": 0.7655702233314514,
103
+ "eval_runtime": 0.0667,
104
+ "eval_samples_per_second": 1065.161,
105
+ "eval_steps_per_second": 15.002,
106
+ "step": 18
107
+ },
108
+ {
109
+ "epoch": 6.0,
110
+ "step": 18,
111
+ "total_flos": 501226560460800.0,
112
+ "train_loss": 0.7080998553170098,
113
+ "train_runtime": 19.2495,
114
+ "train_samples_per_second": 1649.392,
115
+ "train_steps_per_second": 7.792
116
+ }
117
+ ],
118
+ "logging_steps": 1,
119
+ "max_steps": 150,
120
+ "num_input_tokens_seen": 0,
121
+ "num_train_epochs": 50,
122
+ "save_steps": 500,
123
+ "stateful_callbacks": {
124
+ "EarlyStoppingCallback": {
125
+ "args": {
126
+ "early_stopping_patience": 5,
127
+ "early_stopping_threshold": 0.0
128
+ },
129
+ "attributes": {
130
+ "early_stopping_patience_counter": 5
131
+ }
132
+ },
133
+ "TrainerControl": {
134
+ "args": {
135
+ "should_epoch_stop": false,
136
+ "should_evaluate": false,
137
+ "should_log": false,
138
+ "should_save": true,
139
+ "should_training_stop": true
140
+ },
141
+ "attributes": {}
142
+ }
143
+ },
144
+ "total_flos": 501226560460800.0,
145
+ "train_batch_size": 256,
146
+ "trial_name": null,
147
+ "trial_params": null
148
+ }