---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-basque-lr1e-5-freezeFalse
  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-tiny-basque-lr1e-5-freezeFalse

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3068
- Wer: 15.2741

## 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: 256
- eval_batch_size: 128
- 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: 10000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.3108        | 0.66  | 1000  | 0.4898          | 27.4135 |
| 0.2097        | 1.32  | 2000  | 0.3735          | 20.8880 |
| 0.179         | 1.98  | 3000  | 0.3456          | 18.7898 |
| 0.1488        | 2.64  | 4000  | 0.3320          | 17.3161 |
| 0.1348        | 3.3   | 5000  | 0.3175          | 16.7728 |
| 0.1271        | 3.96  | 6000  | 0.3110          | 16.1421 |
| 0.1176        | 4.62  | 7000  | 0.3099          | 15.7050 |
| 0.1095        | 5.28  | 8000  | 0.3078          | 15.2866 |
| 0.11          | 5.94  | 9000  | 0.3059          | 15.2804 |
| 0.1048        | 6.61  | 10000 | 0.3068          | 15.2741 |


### Framework versions

- Transformers 4.25.1
- Pytorch 2.5.1+cu121
- Datasets 2.8.0
- Tokenizers 0.13.3