---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: openai/whisper-small
datasets:
- mozilla-foundation/common_voice_6_1
model-index:
- name: LoRA-Frisian-10h-new
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# LoRA-Frisian-10h-new

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_6_1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7553

## 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: 3e-05
- 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0227        | 1.0   | 935  | 1.0968          |
| 0.826         | 2.0   | 1870 | 0.8901          |
| 0.7334        | 3.0   | 2805 | 0.8065          |
| 0.648         | 4.0   | 3740 | 0.7682          |
| 0.655         | 5.0   | 4675 | 0.7553          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1