---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-v4
  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. -->

# whisper-small-v4

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2998
- Wer: 37.0027

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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: 5
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Wer     |
|:-------------:|:------:|:-----:|:---------------:|:-------:|
| 0.3985        | 0.2458 | 5000  | 0.4006          | 100     |
| 0.3535        | 0.4917 | 10000 | 0.3515          | 41.9359 |
| 0.3329        | 0.7375 | 15000 | 0.3267          | 41.2601 |
| 0.3088        | 0.9834 | 20000 | 0.3122          | 40.8518 |
| 0.2702        | 1.2292 | 25000 | 0.3052          | 39.1540 |
| 0.2682        | 1.4750 | 30000 | 0.2963          | 39.5239 |
| 0.2606        | 1.7208 | 35000 | 0.2891          | 38.2537 |
| 0.2622        | 1.9667 | 40000 | 0.2837          | 38.0593 |
| 0.2164        | 2.2125 | 45000 | 0.2854          | 37.4512 |
| 0.222         | 2.4583 | 50000 | 0.2817          | 37.9314 |
| 0.2233        | 2.7042 | 55000 | 0.2788          | 37.6204 |
| 0.2218        | 2.9500 | 60000 | 0.2755          | 36.9669 |
| 0.1752        | 3.1958 | 65000 | 0.2871          | 36.6628 |
| 0.1802        | 3.4417 | 70000 | 0.2860          | 36.9139 |
| 0.1864        | 3.6875 | 75000 | 0.2818          | 37.8713 |
| 0.1832        | 3.9334 | 80000 | 0.2804          | 38.1352 |
| 0.1396        | 4.1792 | 85000 | 0.3042          | 37.6950 |
| 0.1398        | 4.4250 | 90000 | 0.3042          | 37.7528 |
| 0.1482        | 4.6708 | 95000 | 0.2998          | 37.0027 |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0