---
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: 0.5759

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9894        | 1.0   | 417  | 1.7665          |
| 0.8028        | 2.0   | 834  | 0.7597          |
| 0.6486        | 3.0   | 1251 | 0.5817          |
| 0.471         | 4.0   | 1668 | 0.5405          |
| 0.3168        | 5.0   | 2085 | 0.5099          |
| 0.2274        | 6.0   | 2502 | 0.5287          |
| 0.1328        | 7.0   | 2919 | 0.5458          |
| 0.0787        | 8.0   | 3336 | 0.5511          |
| 0.0306        | 9.0   | 3753 | 0.5689          |
| 0.0179        | 10.0  | 4170 | 0.5759          |


### Framework versions

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