---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small.en
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: 2026-02-25_02-15-51
  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. -->

# 2026-02-25_02-15-51

This model is a fine-tuned version of [openai/whisper-small.en](https://huggingface.co/openai/whisper-small.en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2900
- Wer: 11.7695

## 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: 8
- seed: 42
- optimizer: Use 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: 10000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 1.1276        | 0.1123 | 500  | 0.3356          | 13.7752 |
| 0.2792        | 0.2247 | 1000 | 0.3113          | 12.9679 |
| 0.2666        | 0.3370 | 1500 | 0.3035          | 12.6108 |
| 0.2616        | 0.4493 | 2000 | 0.2999          | 12.2032 |
| 0.2563        | 0.5617 | 2500 | 0.2986          | 13.2479 |
| 0.2501        | 0.6740 | 3000 | 0.2929          | 12.4547 |
| 0.2561        | 0.7863 | 3500 | 0.2910          | 11.9032 |
| 0.2497        | 0.8987 | 4000 | 0.2898          | 12.0265 |
| 0.2336        | 1.0110 | 4500 | 0.2877          | 11.4051 |
| 0.1795        | 1.1233 | 5000 | 0.2915          | 11.8667 |
| 0.1837        | 1.2357 | 5500 | 0.2909          | 11.7313 |
| 0.1763        | 1.3480 | 6000 | 0.2900          | 11.7695 |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1