---
library_name: transformers
license: apache-2.0
base_model: biodatlab/whisper-th-medium-combined
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/whisper-th-medium-combined](https://huggingface.co/biodatlab/whisper-th-medium-combined) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0874
- Cer: 5.5267

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2.0
- total_train_batch_size: 32.0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Cer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| No log        | 0.9926 | 67   | 0.0899          | 4.9847 |
| 0.2506        | 2.0    | 135  | 0.0949          | 4.8051 |
| 0.085         | 2.9926 | 202  | 0.0822          | 4.3363 |
| 0.085         | 4.0    | 270  | 0.0841          | 5.2042 |
| 0.0456        | 4.9926 | 337  | 0.0896          | 9.6136 |
| 0.0392        | 6.0    | 405  | 0.0875          | 4.7087 |
| 0.0392        | 6.9926 | 472  | 0.0879          | 4.7320 |
| 0.0296        | 8.0    | 540  | 0.0874          | 5.3804 |
| 0.0276        | 8.9926 | 607  | 0.0860          | 5.2873 |
| 0.0276        | 9.9259 | 670  | 0.0874          | 5.5267 |


### Framework versions

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