---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-final
  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-final

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: 0.0714
- Wer: 6.3947

## 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: 1000
- training_steps: 10000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step  | Validation Loss | Wer     |
|:-------------:|:-------:|:-----:|:---------------:|:-------:|
| 0.7273        | 1.6051  | 1000  | 0.7348          | 71.3477 |
| 0.392         | 3.2103  | 2000  | 0.4304          | 52.0592 |
| 0.3171        | 4.8154  | 3000  | 0.3059          | 39.7812 |
| 0.2064        | 6.4205  | 4000  | 0.2250          | 30.7857 |
| 0.1528        | 8.0257  | 5000  | 0.1694          | 23.0769 |
| 0.119         | 9.6308  | 6000  | 0.1304          | 16.5173 |
| 0.0823        | 11.2360 | 7000  | 0.1023          | 11.7556 |
| 0.0796        | 12.8411 | 8000  | 0.0852          | 8.5116  |
| 0.0514        | 14.4462 | 9000  | 0.0751          | 7.0490  |
| 0.045         | 16.0514 | 10000 | 0.0714          | 6.3947  |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.0
- Datasets 2.19.1
- Tokenizers 0.19.1