---
library_name: transformers
language:
- pl
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-med-pl
  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-med-pl

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7463
- Wer: 44.2464

## 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: 32
- eval_batch_size: 16
- 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: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.8305        | 0.4954 | 108  | 0.8192          | 55.6976 |
| 0.7908        | 0.9908 | 216  | 0.7731          | 49.3476 |
| 0.7031        | 1.4862 | 324  | 0.7591          | 47.6053 |
| 0.6715        | 1.9817 | 432  | 0.7479          | 49.9371 |
| 0.6193        | 2.4771 | 540  | 0.7478          | 47.1537 |
| 0.6019        | 2.9725 | 648  | 0.7463          | 44.2464 |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 4.3.0
- Tokenizers 0.21.4