---
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-10m
  results: []
---

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

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: 1.4050

## 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: 12
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 15   | 2.2933          |
| 1.9518        | 2.0   | 30   | 2.0861          |
| 1.9518        | 3.0   | 45   | 1.7375          |
| 1.1576        | 4.0   | 60   | 1.4904          |
| 0.3487        | 5.0   | 75   | 1.4023          |
| 0.3487        | 6.0   | 90   | 1.3944          |
| 0.1202        | 7.0   | 105  | 1.4065          |
| 0.1202        | 8.0   | 120  | 1.3962          |
| 0.039         | 9.0   | 135  | 1.3982          |
| 0.0143        | 10.0  | 150  | 1.4102          |
| 0.0143        | 11.0  | 165  | 1.4045          |
| 0.0097        | 12.0  | 180  | 1.4050          |


### Framework versions

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