---
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: 0.0878
- Cer: 5.4469

## 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
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 5000
- num_epochs: 15.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Cer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 0.0275        | 0.9926  | 67   | 0.0804          | 4.9648 |
| 0.0359        | 2.0     | 135  | 0.0807          | 6.0688 |
| 0.0317        | 2.9926  | 202  | 0.0813          | 5.8626 |
| 0.0196        | 4.0     | 270  | 0.0819          | 4.9681 |
| 0.021         | 4.9926  | 337  | 0.0823          | 4.8683 |
| 0.0209        | 6.0     | 405  | 0.0831          | 4.8783 |
| 0.0223        | 6.9926  | 472  | 0.0866          | 5.0080 |
| 0.0173        | 8.0     | 540  | 0.0864          | 5.2541 |
| 0.0231        | 8.9926  | 607  | 0.0839          | 4.6422 |
| 0.0131        | 10.0    | 675  | 0.0860          | 5.3405 |
| 0.0134        | 10.9926 | 742  | 0.0899          | 5.2674 |
| 0.0183        | 12.0    | 810  | 0.0873          | 5.8094 |
| 0.0172        | 12.9926 | 877  | 0.0893          | 4.9215 |
| 0.0178        | 14.0    | 945  | 0.0855          | 5.7096 |
| 0.0127        | 14.8889 | 1005 | 0.0878          | 5.4469 |


### Framework versions

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