---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: English-3
  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. -->

# English-3

This model is a fine-tuned version of [openai/whisper-small.en](https://huggingface.co/openai/whisper-small.en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0008
- Wer: 8.1694

## 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-05
- train_batch_size: 8
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| No log        | 1.0   | 11   | 0.5281          | 37.8215 |
| No log        | 2.0   | 22   | 0.1894          | 13.0106 |
| No log        | 3.0   | 33   | 0.1160          | 36.7625 |
| No log        | 4.0   | 44   | 0.0543          | 10.5900 |
| No log        | 5.0   | 55   | 0.0576          | 12.8593 |
| No log        | 6.0   | 66   | 0.0509          | 8.3207  |
| No log        | 7.0   | 77   | 0.0121          | 7.5643  |
| No log        | 8.0   | 88   | 0.0025          | 7.5643  |
| No log        | 9.0   | 99   | 0.0010          | 8.1694  |
| No log        | 10.0  | 110  | 0.0008          | 8.1694  |


### Framework versions

- Transformers 4.30.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.13.3