gokuls commited on
Commit
cd889f9
1 Parent(s): 2fbb9c0

End of training

Browse files
Files changed (5) hide show
  1. README.md +19 -2
  2. all_results.json +15 -0
  3. eval_results.json +10 -0
  4. train_results.json +8 -0
  5. trainer_state.json +0 -0
README.md CHANGED
@@ -1,9 +1,23 @@
1
  ---
2
  tags:
3
  - generated_from_trainer
 
 
 
 
4
  model-index:
5
  - name: HBERTv1_48_L2_H128_A2_ffn_1
6
- results: []
 
 
 
 
 
 
 
 
 
 
7
  ---
8
 
9
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -11,7 +25,10 @@ should probably proofread and complete it, then remove this comment. -->
11
 
12
  # HBERTv1_48_L2_H128_A2_ffn_1
13
 
14
- This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
 
 
 
15
 
16
  ## Model description
17
 
 
1
  ---
2
  tags:
3
  - generated_from_trainer
4
+ datasets:
5
+ - gokuls/wiki_book_corpus_complete_processed_bert_dataset
6
+ metrics:
7
+ - accuracy
8
  model-index:
9
  - name: HBERTv1_48_L2_H128_A2_ffn_1
10
+ results:
11
+ - task:
12
+ name: Masked Language Modeling
13
+ type: fill-mask
14
+ dataset:
15
+ name: gokuls/wiki_book_corpus_complete_processed_bert_dataset
16
+ type: gokuls/wiki_book_corpus_complete_processed_bert_dataset
17
+ metrics:
18
+ - name: Accuracy
19
+ type: accuracy
20
+ value: 0.1496531706247267
21
  ---
22
 
23
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
25
 
26
  # HBERTv1_48_L2_H128_A2_ffn_1
27
 
28
+ This model is a fine-tuned version of [](https://huggingface.co/) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset.
29
+ It achieves the following results on the evaluation set:
30
+ - Loss: 6.0273
31
+ - Accuracy: 0.1497
32
 
33
  ## Model description
34
 
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 14.21,
3
+ "eval_accuracy": 0.1496531706247267,
4
+ "eval_loss": 6.027312278747559,
5
+ "eval_runtime": 496.2332,
6
+ "eval_samples": 308356,
7
+ "eval_samples_per_second": 621.393,
8
+ "eval_steps_per_second": 3.454,
9
+ "perplexity": 414.5992034488068,
10
+ "train_loss": 6.210341006701539,
11
+ "train_runtime": 197999.3651,
12
+ "train_samples": 5858758,
13
+ "train_samples_per_second": 2958.978,
14
+ "train_steps_per_second": 16.439
15
+ }
eval_results.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 14.21,
3
+ "eval_accuracy": 0.1496531706247267,
4
+ "eval_loss": 6.027312278747559,
5
+ "eval_runtime": 496.2332,
6
+ "eval_samples": 308356,
7
+ "eval_samples_per_second": 621.393,
8
+ "eval_steps_per_second": 3.454,
9
+ "perplexity": 414.5992034488068
10
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 14.21,
3
+ "train_loss": 6.210341006701539,
4
+ "train_runtime": 197999.3651,
5
+ "train_samples": 5858758,
6
+ "train_samples_per_second": 2958.978,
7
+ "train_steps_per_second": 16.439
8
+ }
trainer_state.json ADDED
The diff for this file is too large to render. See raw diff