---
language:
- ru
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: openai/whisper-small
metrics:
- wer
model-index:
- name: 'Whisper Small Ru ORD 0.7 PEFT LoRA - Mizoru '
  results: []
---

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[<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/jbal64q5)
[<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/jbal64q5)
[<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/jbal64q5)
[<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/o1p7x7u1)
[<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/o1p7x7u1)
# Whisper Small Ru ORD 0.7 PEFT LoRA - Mizoru 

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ORD_0.7 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4241
- Wer: 74.5818
- Cer: 38.6379
- Clean Wer: 60.9733
- Clean Cer: 30.4133

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     | Clean Wer | Clean Cer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:---------:|:---------:|
| 1.3116        | 1.0   | 196  | 1.2595          | 75.2427 | 37.5133 | 59.8253   | 30.3495   |
| 1.1944        | 2.0   | 392  | 1.2362          | 75.3239 | 38.0798 | 61.7830   | 31.1456   |
| 1.137         | 3.0   | 588  | 1.2391          | 76.7957 | 39.3375 | 62.8324   | 31.6562   |
| 1.0293        | 4.0   | 784  | 1.2472          | 74.9783 | 38.2671 | 58.8861   | 30.9703   |
| 0.9835        | 5.0   | 980  | 1.2720          | 72.7755 | 37.0461 | 58.5421   | 28.9427   |
| 0.92          | 6.0   | 1176 | 1.2871          | 72.1532 | 37.6018 | 62.6024   | 30.6224   |
| 0.849         | 7.0   | 1372 | 1.3214          | 72.6281 | 37.3213 | 58.2328   | 29.4501   |
| 0.7708        | 8.0   | 1568 | 1.3527          | 72.0761 | 37.4703 | 60.3471   | 29.9594   |
| 0.7397        | 9.0   | 1764 | 1.3923          | 74.3780 | 38.5124 | 60.8670   | 30.1533   |
| 0.6614        | 10.0  | 1960 | 1.4241          | 74.5818 | 38.6379 | 60.9733   | 30.4133   |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.41.0.dev0
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1