---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- bleu
- wer
model-index:
- name: whisper-small-be2en
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper-small-be2en

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: 0.1618
- Bleu: 0.9
- Chrf: 34.0
- Wer: 97.1429

## 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: 16
- eval_batch_size: 8
- 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_ratio: 0.03
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:----:|:----:|:--------:|
| 2.1697        | 1.0   | 1    | 2.1582          | 0.47 | 0.26 | 117.1429 |
| 2.1697        | 2.0   | 2    | 0.2310          | 0.0  | 0.0  | 100.0    |
| 0.229         | 3.0   | 3    | 0.1618          | 0.9  | 34.0 | 97.1429  |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1