---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: openai/whisper-small
model-index:
- name: Whisper-small-speechocean
  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-speechocean

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co./openai/whisper-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6821

## 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: 0.001
- train_batch_size: 6
- eval_batch_size: 6
- 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5214        | 1.0   | 417  | 1.3231          |
| 0.6304        | 2.0   | 834  | 0.6180          |
| 0.532         | 3.0   | 1251 | 0.5340          |
| 0.4258        | 4.0   | 1668 | 0.5058          |
| 0.3192        | 5.0   | 2085 | 0.5050          |
| 0.288         | 6.0   | 2502 | 0.4952          |
| 0.2097        | 7.0   | 2919 | 0.5252          |
| 0.1986        | 8.0   | 3336 | 0.5281          |
| 0.1185        | 9.0   | 3753 | 0.5534          |
| 0.091         | 10.0  | 4170 | 0.5695          |
| 0.0548        | 11.0  | 4587 | 0.5935          |
| 0.0423        | 12.0  | 5004 | 0.6130          |
| 0.031         | 13.0  | 5421 | 0.6170          |
| 0.0169        | 14.0  | 5838 | 0.6234          |
| 0.0193        | 15.0  | 6255 | 0.6416          |
| 0.0125        | 16.0  | 6672 | 0.6478          |
| 0.0055        | 17.0  | 7089 | 0.6602          |
| 0.0064        | 18.0  | 7506 | 0.6736          |
| 0.004         | 19.0  | 7923 | 0.6785          |
| 0.003         | 20.0  | 8340 | 0.6821          |


### Framework versions

- PEFT 0.8.0
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1