---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper_final
  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_final

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: 3.1551
- Wer: 20.6174

## 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: 5e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 4.2932        | 0.09  | 10   | 4.6306          | 16.0442 |
| 4.2744        | 0.18  | 20   | 4.1942          | 16.2348 |
| 3.7418        | 0.27  | 30   | 3.7625          | 15.5107 |
| 3.2037        | 0.36  | 40   | 3.5635          | 14.6723 |
| 3.4714        | 0.45  | 50   | 3.4383          | 14.3674 |
| 2.8962        | 0.55  | 60   | 3.3494          | 14.1768 |
| 2.7958        | 0.64  | 70   | 3.2752          | 18.2927 |
| 2.8691        | 0.73  | 80   | 3.2208          | 19.5884 |
| 2.8693        | 0.82  | 90   | 3.1857          | 20.6174 |
| 2.9474        | 0.91  | 100  | 3.1644          | 20.6555 |
| 3.1712        | 1.0   | 110  | 3.1551          | 20.6174 |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1