---
language:
- id
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper Small ID - The Court Football Metrics - Amir Husein
  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 ID - The Court Football Metrics - Amir Husein

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the The Court Football Metrics v1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2534
- Wer: 1.7964

## 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: 0.0001
- train_batch_size: 16
- 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: 50
- training_steps: 500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.1179        | 3.7037  | 100  | 0.2313          | 34.2814 |
| 0.0348        | 7.4074  | 200  | 0.2055          | 3.1437  |
| 0.0016        | 11.1111 | 300  | 0.2503          | 1.9461  |
| 0.0001        | 14.8148 | 400  | 0.2483          | 1.7964  |
| 0.0001        | 18.5185 | 500  | 0.2534          | 1.7964  |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1