---
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-1h
  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. -->

# LoRA-Frisian-1h

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: 0.8286

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6913        | 1.0   | 89   | 1.1389          |
| 0.6757        | 2.0   | 178  | 0.9073          |
| 0.3686        | 3.0   | 267  | 0.8561          |
| 0.2062        | 4.0   | 356  | 0.8493          |
| 0.11          | 5.0   | 445  | 0.8448          |
| 0.0652        | 6.0   | 534  | 0.8446          |
| 0.0393        | 7.0   | 623  | 0.8239          |
| 0.0205        | 8.0   | 712  | 0.8243          |
| 0.0137        | 9.0   | 801  | 0.8279          |
| 0.0095        | 10.0  | 890  | 0.8105          |
| 0.0065        | 11.0  | 979  | 0.8192          |
| 0.0076        | 12.0  | 1068 | 0.8240          |
| 0.006         | 13.0  | 1157 | 0.8255          |
| 0.0048        | 14.0  | 1246 | 0.8272          |
| 0.0038        | 15.0  | 1335 | 0.8286          |


### Framework versions

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