danielbubiola commited on
Commit
55177dc
·
1 Parent(s): 9882e9c

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +11 -7
README.md CHANGED
@@ -13,8 +13,8 @@ should probably proofread and complete it, then remove this comment. -->
13
 
14
  This model is a fine-tuned version of [Harveenchadha/vakyansh-wav2vec2-bengali-bnm-200](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-bengali-bnm-200) on the None dataset.
15
  It achieves the following results on the evaluation set:
16
- - Loss: 151.2085
17
- - Wer: 0.4699
18
 
19
  ## Model description
20
 
@@ -40,17 +40,21 @@ The following hyperparameters were used during training:
40
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
41
  - lr_scheduler_type: linear
42
  - lr_scheduler_warmup_steps: 1000
43
- - num_epochs: 35
44
  - mixed_precision_training: Native AMP
45
 
46
  ### Training results
47
 
48
  | Training Loss | Epoch | Step | Validation Loss | Wer |
49
  |:-------------:|:-----:|:----:|:---------------:|:------:|
50
- | 2598.842 | 7.46 | 500 | 241.7446 | 0.6716 |
51
- | 421.6865 | 14.93 | 1000 | 157.1855 | 0.5365 |
52
- | 251.789 | 22.39 | 1500 | 153.7565 | 0.5045 |
53
- | 160.1666 | 29.85 | 2000 | 151.2085 | 0.4699 |
 
 
 
 
54
 
55
 
56
  ### Framework versions
 
13
 
14
  This model is a fine-tuned version of [Harveenchadha/vakyansh-wav2vec2-bengali-bnm-200](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-bengali-bnm-200) on the None dataset.
15
  It achieves the following results on the evaluation set:
16
+ - Loss: 157.8652
17
+ - Wer: 0.4507
18
 
19
  ## Model description
20
 
 
40
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
41
  - lr_scheduler_type: linear
42
  - lr_scheduler_warmup_steps: 1000
43
+ - num_epochs: 60
44
  - mixed_precision_training: Native AMP
45
 
46
  ### Training results
47
 
48
  | Training Loss | Epoch | Step | Validation Loss | Wer |
49
  |:-------------:|:-----:|:----:|:---------------:|:------:|
50
+ | 2601.5363 | 7.46 | 500 | 259.6630 | 0.6863 |
51
+ | 417.7386 | 14.93 | 1000 | 156.6117 | 0.5275 |
52
+ | 262.9455 | 22.39 | 1500 | 155.0886 | 0.5006 |
53
+ | 178.7715 | 29.85 | 2000 | 155.1077 | 0.4840 |
54
+ | 132.448 | 37.31 | 2500 | 163.8623 | 0.4770 |
55
+ | 116.3943 | 44.78 | 3000 | 161.5531 | 0.4609 |
56
+ | 87.1653 | 52.24 | 3500 | 165.6857 | 0.4597 |
57
+ | 80.5606 | 59.7 | 4000 | 157.8652 | 0.4507 |
58
 
59
 
60
  ### Framework versions