transformers safetensors whisper automatic-speech-recognition generated_from_trainer base_model:openai/whisper-small license:apache-2.0 endpoints_compatible region:us
---
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
