Sameen53 commited on
Commit
4ae7493
1 Parent(s): 6d331ca

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +7 -9
README.md CHANGED
@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  This model is a fine-tuned version of [Sameen53/facebook_large_CV_bn3](https://huggingface.co/Sameen53/facebook_large_CV_bn3) on the common_voice dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 0.2655
19
- - Wer: 0.2402
20
 
21
  ## Model description
22
 
@@ -35,7 +35,7 @@ More information needed
35
  ### Training hyperparameters
36
 
37
  The following hyperparameters were used during training:
38
- - learning_rate: 5e-05
39
  - train_batch_size: 16
40
  - eval_batch_size: 8
41
  - seed: 42
@@ -51,12 +51,10 @@ The following hyperparameters were used during training:
51
 
52
  | Training Loss | Epoch | Step | Validation Loss | Wer |
53
  |:-------------:|:-----:|:----:|:---------------:|:------:|
54
- | No log | 0.87 | 1000 | 0.2746 | 0.2451 |
55
- | 0.1547 | 1.73 | 2000 | 0.2351 | 0.2386 |
56
- | 0.1684 | 2.6 | 3000 | 0.2335 | 0.2311 |
57
- | 0.1721 | 3.47 | 4000 | 0.2073 | 0.2314 |
58
- | 0.187 | 4.33 | 5000 | 0.1984 | 0.2349 |
59
- | 0.2468 | 5.2 | 6000 | 0.2655 | 0.2402 |
60
 
61
 
62
  ### Framework versions
 
15
 
16
  This model is a fine-tuned version of [Sameen53/facebook_large_CV_bn3](https://huggingface.co/Sameen53/facebook_large_CV_bn3) on the common_voice dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.1780
19
+ - Wer: 0.2315
20
 
21
  ## Model description
22
 
 
35
  ### Training hyperparameters
36
 
37
  The following hyperparameters were used during training:
38
+ - learning_rate: 5e-06
39
  - train_batch_size: 16
40
  - eval_batch_size: 8
41
  - seed: 42
 
51
 
52
  | Training Loss | Epoch | Step | Validation Loss | Wer |
53
  |:-------------:|:-----:|:----:|:---------------:|:------:|
54
+ | 0.1588 | 1.3 | 1500 | 0.2097 | 0.2315 |
55
+ | 0.2126 | 2.6 | 3000 | 0.1941 | 0.2310 |
56
+ | 0.2242 | 3.9 | 4500 | 0.1834 | 0.2307 |
57
+ | 0.2303 | 5.2 | 6000 | 0.1780 | 0.2315 |
 
 
58
 
59
 
60
  ### Framework versions