---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small-ru-v3
  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-ru-v3

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: 0.1974
- Wer: 16.5586

## 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 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_steps: 500
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.2389        | 0.2413 | 200  | 0.2515          | 22.1606 |
| 0.2039        | 0.4825 | 400  | 0.2257          | 18.2687 |
| 0.1946        | 0.7238 | 600  | 0.2135          | 17.4667 |
| 0.1775        | 0.9650 | 800  | 0.2001          | 16.7119 |
| 0.1037        | 1.2063 | 1000 | 0.1974          | 16.5586 |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.1.0+cu118
- Datasets 3.3.1
- Tokenizers 0.21.0