---
language:
- en
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- jmcastelo17/FIFA_commentary
metrics:
- wer
model-index:
- name: Whisper Small FIFA_commentary
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: FIFA_commentary
      type: jmcastelo17/FIFA_commentary
    metrics:
    - name: Wer
      type: wer
      value: 24.600638977635782
---

<!-- 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 FIFA_commentary

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the FIFA_commentary dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3180
- Wer: 24.6006

## 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: 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
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 5.3487        | 1.0   | 12   | 4.7958          | 46.0064 |
| 4.6559        | 2.0   | 24   | 3.5936          | 38.9776 |
| 3.5187        | 3.0   | 36   | 2.0147          | 30.3514 |
| 2.2037        | 4.0   | 48   | 1.4929          | 30.0319 |
| 1.054         | 5.0   | 60   | 1.3180          | 24.6006 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2