---
base_model: openai/whisper-tiny
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: test
  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. -->

# test

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2527

## 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
- training_steps: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.183         | 2.5   | 250  | 1.8650          |
| 1.5663        | 5.0   | 500  | 1.5657          |
| 1.4027        | 7.5   | 750  | 1.4221          |
| 1.2577        | 10.0  | 1000 | 1.3457          |
| 1.2005        | 12.5  | 1250 | 1.3022          |
| 1.1409        | 15.0  | 1500 | 1.2743          |
| 1.1152        | 17.5  | 1750 | 1.2585          |
| 1.0965        | 20.0  | 2000 | 1.2527          |


### Framework versions

- PEFT 0.13.1.dev0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1