File size: 3,466 Bytes
b0409e9 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 |
---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-Denoiser-enhanced-weight-05-05-hindi-10dB
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-small-Denoiser-enhanced-weight-05-05-hindi-10dB
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5849
- Wer: 34.2815
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1650
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 1.6592 | 0.61 | 50 | 1.3742 | 83.7973 |
| 0.8218 | 1.22 | 100 | 0.7806 | 57.9198 |
| 0.642 | 1.83 | 150 | 0.6349 | 58.6201 |
| 0.504 | 2.44 | 200 | 0.5347 | 54.5651 |
| 0.406 | 3.05 | 250 | 0.4393 | 43.1264 |
| 0.2617 | 3.66 | 300 | 0.3305 | 40.6277 |
| 0.1785 | 4.27 | 350 | 0.3107 | 39.2703 |
| 0.1634 | 4.88 | 400 | 0.2939 | 37.7313 |
| 0.1042 | 5.49 | 450 | 0.3005 | 37.7572 |
| 0.0913 | 6.1 | 500 | 0.3094 | 36.2528 |
| 0.0612 | 6.71 | 550 | 0.3192 | 36.3566 |
| 0.033 | 7.32 | 600 | 0.3379 | 35.8378 |
| 0.0332 | 7.93 | 650 | 0.3420 | 34.9818 |
| 0.021 | 8.54 | 700 | 0.3562 | 35.1288 |
| 0.0143 | 9.15 | 750 | 0.3713 | 35.3017 |
| 0.0109 | 9.76 | 800 | 0.3667 | 34.7657 |
| 0.0073 | 10.37 | 850 | 0.3885 | 35.6562 |
| 0.0075 | 10.98 | 900 | 0.3953 | 34.4631 |
| 0.0042 | 11.59 | 950 | 0.4094 | 34.5582 |
| 0.0036 | 12.2 | 1000 | 0.4179 | 34.1605 |
| 0.0028 | 12.8 | 1050 | 0.4307 | 34.3247 |
| 0.0028 | 13.41 | 1100 | 0.4399 | 34.2383 |
| 0.0014 | 14.02 | 1150 | 0.4490 | 34.1691 |
| 0.0015 | 14.63 | 1200 | 0.4682 | 34.6187 |
| 0.0005 | 15.24 | 1250 | 0.4833 | 34.3680 |
| 0.0008 | 15.85 | 1300 | 0.4916 | 34.0913 |
| 0.0005 | 16.46 | 1350 | 0.5065 | 33.9270 |
| 0.0004 | 17.07 | 1400 | 0.5176 | 34.1345 |
| 0.0002 | 17.68 | 1450 | 0.5429 | 34.2988 |
| 0.0001 | 18.29 | 1500 | 0.5548 | 33.8233 |
| 0.0 | 18.9 | 1550 | 0.5669 | 34.3075 |
| 0.0 | 19.51 | 1600 | 0.5814 | 34.4631 |
| 0.0 | 20.12 | 1650 | 0.5849 | 34.2815 |
### Framework versions
- Transformers 4.37.0.dev0
- Pytorch 1.12.0+cu113
- Datasets 2.16.1
- Tokenizers 0.15.0
|