---
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Sep29-Mixat-whisper-lg-3-transliteration-0.1trainasval
  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. -->

# Sep29-Mixat-whisper-lg-3-transliteration-0.1trainasval

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co./openai/whisper-large-v3) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7875
- Wer: 39.7972

## 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: 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
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 0.7619        | 0.4762  | 100  | 0.5335          | 54.2752 |
| 0.4908        | 0.9524  | 200  | 0.4641          | 49.9738 |
| 0.3846        | 1.4286  | 300  | 0.4498          | 43.4342 |
| 0.389         | 1.9048  | 400  | 0.4382          | 42.3151 |
| 0.2851        | 2.3810  | 500  | 0.4605          | 42.1927 |
| 0.2723        | 2.8571  | 600  | 0.4651          | 42.0878 |
| 0.202         | 3.3333  | 700  | 0.4855          | 40.9862 |
| 0.1731        | 3.8095  | 800  | 0.4809          | 41.3184 |
| 0.1243        | 4.2857  | 900  | 0.5475          | 40.6540 |
| 0.0988        | 4.7619  | 1000 | 0.5303          | 40.7064 |
| 0.0742        | 5.2381  | 1100 | 0.5775          | 40.6889 |
| 0.0531        | 5.7143  | 1200 | 0.5825          | 40.5316 |
| 0.0482        | 6.1905  | 1300 | 0.5976          | 41.3534 |
| 0.0368        | 6.6667  | 1400 | 0.6118          | 41.0911 |
| 0.0312        | 7.1429  | 1500 | 0.6439          | 42.0353 |
| 0.0242        | 7.6190  | 1600 | 0.6332          | 42.0528 |
| 0.0239        | 8.0952  | 1700 | 0.6684          | 39.3251 |
| 0.018         | 8.5714  | 1800 | 0.6527          | 42.3326 |
| 0.019         | 9.0476  | 1900 | 0.6736          | 40.7239 |
| 0.0153        | 9.5238  | 2000 | 0.6701          | 42.3326 |
| 0.0168        | 10.0    | 2100 | 0.7033          | 43.6790 |
| 0.0134        | 10.4762 | 2200 | 0.7028          | 40.2868 |
| 0.0141        | 10.9524 | 2300 | 0.6997          | 43.9063 |
| 0.0112        | 11.4286 | 2400 | 0.7055          | 42.1927 |
| 0.0118        | 11.9048 | 2500 | 0.7112          | 40.4266 |
| 0.0091        | 12.3810 | 2600 | 0.7509          | 41.5982 |
| 0.0106        | 12.8571 | 2700 | 0.7075          | 42.7872 |
| 0.0072        | 13.3333 | 2800 | 0.7263          | 43.3992 |
| 0.0096        | 13.8095 | 2900 | 0.7365          | 42.5249 |
| 0.0086        | 14.2857 | 3000 | 0.7722          | 42.0353 |
| 0.0099        | 14.7619 | 3100 | 0.7480          | 40.9862 |
| 0.0112        | 15.2381 | 3200 | 0.7422          | 40.9512 |
| 0.0076        | 15.7143 | 3300 | 0.7749          | 41.3709 |
| 0.0087        | 16.1905 | 3400 | 0.7505          | 39.9545 |
| 0.0073        | 16.6667 | 3500 | 0.7583          | 41.8780 |
| 0.0072        | 17.1429 | 3600 | 0.7541          | 41.0911 |
| 0.0063        | 17.6190 | 3700 | 0.7516          | 40.9337 |
| 0.0074        | 18.0952 | 3800 | 0.7798          | 41.2135 |
| 0.0067        | 18.5714 | 3900 | 0.7780          | 40.4791 |
| 0.0078        | 19.0476 | 4000 | 0.7596          | 41.2660 |
| 0.0061        | 19.5238 | 4100 | 0.7660          | 39.6048 |
| 0.0071        | 20.0    | 4200 | 0.7699          | 40.9862 |
| 0.0045        | 20.4762 | 4300 | 0.7855          | 41.4583 |
| 0.0055        | 20.9524 | 4400 | 0.7875          | 39.7972 |


### Framework versions

- Transformers 4.43.4
- Pytorch 2.4.1
- Datasets 3.0.0
- Tokenizers 0.19.1