---
library_name: transformers
language:
- en
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: bhattasp/whisper-finetuned-bial
  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. -->

# bhattasp/whisper-finetuned-bial

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Bial dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4114
- Wer: 22.7624

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 1.7741        | 1.0   | 257  | 1.7110          | 41.2738 |
| 0.8015        | 2.0   | 514  | 0.6401          | 38.2903 |
| 0.3439        | 3.0   | 771  | 0.4480          | 28.6366 |
| 0.2409        | 4.0   | 1028 | 0.4146          | 30.2520 |
| 0.1659        | 5.0   | 1285 | 0.4114          | 22.7624 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0