samantharhay commited on
Commit
4dee153
·
1 Parent(s): 0d2ea0f

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +12 -12
README.md CHANGED
@@ -14,8 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
14
 
15
  This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
16
  It achieves the following results on the evaluation set:
17
- - Loss: 3.0665
18
- - Wer: 1.0
19
 
20
  ## Model description
21
 
@@ -34,7 +34,7 @@ More information needed
34
  ### Training hyperparameters
35
 
36
  The following hyperparameters were used during training:
37
- - learning_rate: 0.0001
38
  - train_batch_size: 32
39
  - eval_batch_size: 8
40
  - seed: 42
@@ -46,15 +46,15 @@ The following hyperparameters were used during training:
46
 
47
  ### Training results
48
 
49
- | Training Loss | Epoch | Step | Validation Loss | Wer |
50
- |:-------------:|:-----:|:----:|:---------------:|:---:|
51
- | 6.467 | 4.0 | 500 | 3.1080 | 1.0 |
52
- | 3.153 | 8.0 | 1000 | 3.0003 | 1.0 |
53
- | 3.092 | 12.0 | 1500 | 2.9949 | 1.0 |
54
- | 3.0631 | 16.0 | 2000 | 3.0851 | 1.0 |
55
- | 3.0475 | 20.0 | 2500 | 3.0497 | 1.0 |
56
- | 3.0552 | 24.0 | 3000 | 3.0839 | 1.0 |
57
- | 3.0351 | 28.0 | 3500 | 3.0665 | 1.0 |
58
 
59
 
60
  ### Framework versions
 
14
 
15
  This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
16
  It achieves the following results on the evaluation set:
17
+ - Loss: 1.2368
18
+ - Wer: 0.8655
19
 
20
  ## Model description
21
 
 
34
  ### Training hyperparameters
35
 
36
  The following hyperparameters were used during training:
37
+ - learning_rate: 1e-05
38
  - train_batch_size: 32
39
  - eval_batch_size: 8
40
  - seed: 42
 
46
 
47
  ### Training results
48
 
49
+ | Training Loss | Epoch | Step | Validation Loss | Wer |
50
+ |:-------------:|:-----:|:----:|:---------------:|:------:|
51
+ | 10.7111 | 4.0 | 500 | 6.1429 | 1.0 |
52
+ | 4.8905 | 8.0 | 1000 | 6.0597 | 1.0 |
53
+ | 3.4516 | 12.0 | 1500 | 3.0125 | 1.0 |
54
+ | 2.9895 | 16.0 | 2000 | 2.9629 | 1.0 |
55
+ | 2.9155 | 20.0 | 2500 | 2.4479 | 1.0 |
56
+ | 2.3186 | 24.0 | 3000 | 1.5888 | 0.9565 |
57
+ | 1.8469 | 28.0 | 3500 | 1.2368 | 0.8655 |
58
 
59
 
60
  ### Framework versions