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---
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
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