---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
base_model: openai/whisper-small
metrics:
- wer
model-index:
- name: Whisper model - Rayyan
  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 model - Rayyan

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Brainhack 2024 ASR Dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0739
- Wer: 3.1065

## 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: 500
- training_steps: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 0.0052        | 5.7143  | 1000 | 0.0548          | 3.3116 |
| 0.0001        | 11.4286 | 2000 | 0.0739          | 3.1065 |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1