---
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: 23.003194888178914
---

<!-- 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: 1.3021
- Wer: 23.0032

## 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-06
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| No log        | 1.0   | 3    | 1.3065          | 23.6422 |
| No log        | 2.0   | 6    | 1.3063          | 23.6422 |
| No log        | 3.0   | 9    | 1.3060          | 23.6422 |
| No log        | 4.0   | 12   | 1.3054          | 23.6422 |
| No log        | 5.0   | 15   | 1.3047          | 23.6422 |
| No log        | 6.0   | 18   | 1.3041          | 23.6422 |
| No log        | 7.0   | 21   | 1.3038          | 23.3227 |
| No log        | 8.0   | 24   | 1.3030          | 23.0032 |
| No log        | 9.0   | 27   | 1.3025          | 23.0032 |
| No log        | 10.0  | 30   | 1.3021          | 23.0032 |


### Framework versions

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