---
language:
- ru
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: 'Whisper Small Ru ORD 0.9 - Mizoru '
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mizoru/ORD/runs/9kmjw1o8)
# Whisper Small Ru ORD 0.9 - Mizoru 

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ORD_0.9 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0101
- Wer: 55.3480
- Cer: 30.6157
- Clean Wer: 49.0786
- Clean Cer: 25.0685

## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     | Clean Wer | Clean Cer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:---------:|:---------:|
| 1.0556        | 1.0   | 550  | 1.0824          | 56.6466 | 31.3266 | 49.6817   | 25.7468   |
| 0.979         | 2.0   | 1100 | 1.0150          | 55.8725 | 31.2389 | 49.7929   | 25.7459   |
| 0.8231        | 3.0   | 1650 | 1.0072          | 55.8588 | 30.5663 | 49.0675   | 24.9799   |
| 0.7372        | 4.0   | 2200 | 1.0101          | 55.3480 | 30.6157 | 49.0786   | 25.0685   |


### Framework versions

- Transformers 4.41.0.dev0
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1