---
library_name: transformers
license: mit
base_model: biodatlab/distill-whisper-th-small
tags:
- generated_from_trainer
model-index:
- name: outs
  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. -->

# outs

This model is a fine-tuned version of [biodatlab/distill-whisper-th-small](https://huggingface.co./biodatlab/distill-whisper-th-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5794
- Cer: 22.7354

## 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: 8e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.3046        | 1.0   | 537  | 0.5714          | 37.0843 |
| 0.1192        | 2.0   | 1074 | 0.5905          | 29.1700 |
| 0.0471        | 3.0   | 1611 | 0.5794          | 22.7354 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1