---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: openai/whisper-small
datasets:
- librispeech
model-index:
- name: Whisper Small English 1h
  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 Small English 1h

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the librispeech dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1760

## 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: 0.0001
- train_batch_size: 8
- 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: 50
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7144        | 1.0   | 39   | 1.4900          |
| 0.4793        | 2.0   | 78   | 0.5925          |
| 0.3478        | 3.0   | 117  | 0.5148          |
| 0.2552        | 4.0   | 156  | 0.4314          |
| 0.1964        | 5.0   | 195  | 0.1524          |
| 0.0281        | 6.0   | 234  | 0.1534          |
| 0.0254        | 7.0   | 273  | 0.1537          |
| 0.0133        | 8.0   | 312  | 0.1613          |
| 0.011         | 9.0   | 351  | 0.1601          |
| 0.0088        | 10.0  | 390  | 0.1619          |
| 0.007         | 11.0  | 429  | 0.1659          |
| 0.0067        | 12.0  | 468  | 0.1647          |
| 0.0056        | 13.0  | 507  | 0.1671          |
| 0.0053        | 14.0  | 546  | 0.1683          |
| 0.0047        | 15.0  | 585  | 0.1687          |
| 0.0041        | 16.0  | 624  | 0.1703          |
| 0.0037        | 17.0  | 663  | 0.1715          |
| 0.0037        | 18.0  | 702  | 0.1721          |
| 0.0035        | 19.0  | 741  | 0.1726          |
| 0.0034        | 20.0  | 780  | 0.1730          |
| 0.0032        | 21.0  | 819  | 0.1738          |
| 0.0031        | 22.0  | 858  | 0.1741          |
| 0.0033        | 23.0  | 897  | 0.1744          |
| 0.003         | 24.0  | 936  | 0.1748          |
| 0.0029        | 25.0  | 975  | 0.1756          |
| 0.003         | 26.0  | 1014 | 0.1756          |
| 0.0028        | 27.0  | 1053 | 0.1756          |
| 0.0027        | 28.0  | 1092 | 0.1760          |
| 0.0027        | 29.0  | 1131 | 0.1760          |
| 0.0027        | 30.0  | 1170 | 0.1760          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1