---
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
  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

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: 0.4038

## 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: 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.5243        | 1.0   | 935   | 0.6300          |
| 0.432         | 2.0   | 1870  | 0.5607          |
| 0.3525        | 3.0   | 2805  | 0.5192          |
| 0.2719        | 4.0   | 3740  | 0.4961          |
| 0.2251        | 5.0   | 4675  | 0.4779          |
| 0.1761        | 6.0   | 5610  | 0.4505          |
| 0.1344        | 7.0   | 6545  | 0.4435          |
| 0.1019        | 8.0   | 7480  | 0.4414          |
| 0.0717        | 9.0   | 8415  | 0.4197          |
| 0.0434        | 10.0  | 9350  | 0.4149          |
| 0.023         | 11.0  | 10285 | 0.4077          |
| 0.0161        | 12.0  | 11220 | 0.4067          |
| 0.0075        | 13.0  | 12155 | 0.3982          |
| 0.0066        | 14.0  | 13090 | 0.4005          |
| 0.0034        | 15.0  | 14025 | 0.4038          |


### Framework versions

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