---
language:
- ru
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: openai/whisper-small
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/t813gl5z)
# 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:
- eval_loss: 1.3021
- eval_wer: 60.8525
- eval_cer: 33.9271
- eval_clean_wer: 53.2332
- eval_clean_cer: 28.0130
- eval_runtime: 1732.3102
- eval_samples_per_second: 0.451
- eval_steps_per_second: 0.028
- epoch: 7.0
- step: 1372

## 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

### Framework versions

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