---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: openai/whisper-small
datasets:
- common_voice_11_0
metrics:
- wer
model-index:
- name: whisper_small.hi_lora
  results: []
---

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

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_11_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4588
- Wer: 52.1713

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.4177        | 2.44  | 1000 | 0.5055          | 59.4430 |
| 0.3887        | 4.89  | 2000 | 0.4759          | 52.9544 |
| 0.3595        | 7.33  | 3000 | 0.4660          | 52.4634 |
| 0.3643        | 9.78  | 4000 | 0.4598          | 52.2221 |
| 0.3556        | 12.22 | 5000 | 0.4588          | 52.1713 |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2