---
base_model: openai/whisper-small
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: whisper_1908
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper_1908

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6217

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.2051        | 1.0   | 9    | 3.9683          |
| 3.3557        | 2.0   | 18   | 3.3184          |
| 2.6936        | 3.0   | 27   | 2.6472          |
| 1.8713        | 4.0   | 36   | 1.8930          |
| 1.2406        | 5.0   | 45   | 0.9416          |
| 1.4966        | 6.0   | 54   | 0.8827          |
| 0.6747        | 7.0   | 63   | 0.7407          |
| 0.6202        | 8.0   | 72   | 0.6670          |
| 0.5733        | 9.0   | 81   | 0.6357          |
| 0.5327        | 10.0  | 90   | 0.6217          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1