---
language:
- pl
license: apache-2.0
base_model: Maks545curve/whisper-small-new-ru-a
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_17_0
metrics:
- wer
model-index:
- name: Whisper Small new-ru-pl AIIA
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 17
      type: mozilla-foundation/common_voice_17_0
      config: pl
      split: test
      args: pl
    metrics:
    - name: Wer
      type: wer
      value: 16.379563329029228
---

<!-- 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 new-ru-pl AIIA

This model is a fine-tuned version of [Maks545curve/whisper-small-new-ru-a](https://huggingface.co/Maks545curve/whisper-small-new-ru-a) on the Common Voice 17 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3382
- Wer Ortho: 25.7888
- Wer: 16.3796

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 70
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
| 0.344         | 0.5336 | 500  | 0.3786          | 29.1204   | 18.2225 |
| 0.2073        | 1.0672 | 1000 | 0.3382          | 25.7888   | 16.3796 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+cpu
- Datasets 2.20.0
- Tokenizers 0.19.1