---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Shunya_Augmentation_enabled_attempt2
  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. -->

# Shunya_Augmentation_enabled_attempt2

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6338
- Wer: 26.8203

## 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 100000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step   | Validation Loss | Wer     |
|:-------------:|:-------:|:------:|:---------------:|:-------:|
| 0.3379        | 3.9062  | 5000   | 0.7792          | 47.4376 |
| 0.1422        | 7.8125  | 10000  | 0.7314          | 38.2661 |
| 0.1088        | 11.7188 | 15000  | 0.7569          | 38.1037 |
| 0.0704        | 15.625  | 20000  | 0.7331          | 37.7788 |
| 0.0265        | 19.5312 | 25000  | 0.7670          | 39.1670 |
| 0.0179        | 23.4375 | 30000  | 0.7927          | 36.2428 |
| 0.0225        | 27.3438 | 35000  | 0.7842          | 35.8883 |
| 0.0227        | 31.25   | 40000  | 0.7847          | 34.4705 |
| 0.0167        | 35.1562 | 45000  | 0.7585          | 32.4472 |
| 0.0149        | 39.0625 | 50000  | 0.7667          | 31.9894 |
| 0.0288        | 42.9688 | 55000  | 0.7391          | 32.6983 |
| 0.0067        | 46.875  | 60000  | 0.7365          | 31.1475 |
| 0.0048        | 50.7812 | 65000  | 0.7247          | 29.8626 |
| 0.0184        | 54.6875 | 70000  | 0.7135          | 30.5272 |
| 0.0051        | 58.5938 | 75000  | 0.7035          | 29.5525 |
| 0.0185        | 62.5    | 80000  | 0.6938          | 29.1833 |
| 0.0008        | 66.4062 | 85000  | 0.6732          | 30.0399 |
| 0.0068        | 70.3125 | 90000  | 0.6482          | 28.3710 |
| 0.0065        | 74.2188 | 95000  | 0.6310          | 27.7212 |
| 0.0001        | 78.125  | 100000 | 0.6338          | 26.8203 |


### Framework versions

- Transformers 5.3.0.dev0
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2