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

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: 0.0020

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1302        | 1.0   | 137  | 0.0964          |
| 0.0897        | 2.0   | 274  | 0.0545          |
| 0.0691        | 3.0   | 411  | 0.0396          |
| 0.0482        | 4.0   | 548  | 0.0279          |
| 0.0374        | 5.0   | 685  | 0.0174          |
| 0.0189        | 6.0   | 822  | 0.0096          |
| 0.0108        | 7.0   | 959  | 0.0063          |
| 0.004         | 8.0   | 1096 | 0.0039          |
| 0.0039        | 9.0   | 1233 | 0.0024          |
| 0.0026        | 10.0  | 1370 | 0.0020          |


### Framework versions

- PEFT 0.8.0
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1