---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: English-4
  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-4

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: 0.0007
- Wer: 10.1983

## 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: 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| No log        | 1.0   | 15   | 1.1627          | 31.3503 |
| No log        | 2.0   | 30   | 0.2005          | 16.9027 |
| No log        | 3.0   | 45   | 0.0768          | 11.8980 |
| No log        | 4.0   | 60   | 0.0250          | 11.1426 |
| No log        | 5.0   | 75   | 0.0118          | 10.0094 |
| No log        | 6.0   | 90   | 0.0083          | 30.5005 |
| No log        | 7.0   | 105  | 0.0032          | 30.9726 |
| No log        | 8.0   | 120  | 0.0024          | 10.3872 |
| No log        | 9.0   | 135  | 0.0018          | 10.2927 |
| No log        | 10.0  | 150  | 0.0011          | 10.4816 |
| No log        | 11.0  | 165  | 0.0009          | 10.1983 |
| No log        | 12.0  | 180  | 0.0008          | 10.1983 |
| No log        | 13.0  | 195  | 0.0008          | 10.1983 |
| No log        | 14.0  | 210  | 0.0007          | 10.1983 |
| No log        | 15.0  | 225  | 0.0007          | 10.1983 |


### Framework versions

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