README.md

---
language:
- pl
library_name: peft
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_17_0
- facebook/multilingual_librispeech
base_model: openai/whisper-small
model-index:
- name: Whisper Small Polish PEFT - s22678 prod
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper Small Polish PEFT - s22678 prod

This model is a fine-tuned version of [openai/openai/whisper-small](https://huggingface.co/openai/openai/whisper-small) on the Common Voice 17.0 and the MultiLingual LibriSpeech datasets.
It achieves the following results on the evaluation set:
- Loss: 0.2931

## 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: 32
- 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: 1000
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1409        | 2.67  | 2500 | 0.3070          |


### Framework versions

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