---
library_name: transformers
language:
- en
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: sumukhshadakshari/whisper-finetuned-bial2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# sumukhshadakshari/whisper-finetuned-bial2

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the bial2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3229
- Wer: 31.7789

## 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      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4255        | 1.0   | 257  | 1.3274          | 102.7404 |
| 0.5538        | 2.0   | 514  | 0.5221          | 44.0872  |
| 0.3054        | 3.0   | 771  | 0.3637          | 30.5956  |
| 0.202         | 4.0   | 1028 | 0.3305          | 28.6649  |
| 0.1601        | 5.0   | 1285 | 0.3229          | 31.7789  |


### Framework versions

- Transformers 4.44.1
- Pytorch 2.4.1
- Datasets 2.19.1
- Tokenizers 0.19.1