---
language:
- pl
library_name: peft
tags:
- generated_from_trainer
base_model: openai/whisper-base
datasets:
- mozilla-foundation/common_voice_17_0
model-index:
- name: Whisper Base Polish PEFT - s22678 prod
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: Common Voice 17.0
      type: mozilla-foundation/common_voice_17_0
      split: test
    metrics:
    - type: wer
      value: 42.070773263433814
      name: WER
---

<!-- 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 Base Polish PEFT - s22678 prod

This model is a fine-tuned version of [openai/openai/whisper-base](https://huggingface.co/openai/openai/whisper-base) on the Common Voice 17.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5546

## 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: 0.001
- train_batch_size: 52
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3265        | 1.0   | 400  | 0.4049          |
| 0.2506        | 2.01  | 800  | 0.3920          |
| 0.185         | 3.01  | 1200 | 0.3868          |
| 0.1506        | 4.01  | 1600 | 0.3859          |
| 0.1217        | 5.01  | 2000 | 0.3856          |
| 0.0931        | 6.02  | 2400 | 0.3922          |
| 0.0698        | 7.02  | 2800 | 0.3999          |
| 0.0549        | 8.02  | 3200 | 0.4077          |
| 0.0477        | 9.02  | 3600 | 0.4121          |


### Framework versions

- PEFT 0.11.2.dev0
- Transformers 4.36.0
- Pytorch 2.1.0
- Datasets 2.15.0
- Tokenizers 0.15.1