---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-rus
  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-tiny-rus

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4508
- Wer: 37.6577

## 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: 128
- eval_batch_size: 128
- 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: 100
- training_steps: 600
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.6166        | 0.3984 | 100  | 0.6163          | 45.3709 |
| 0.5109        | 0.7968 | 200  | 0.5225          | 41.1251 |
| 0.4615        | 1.1952 | 300  | 0.4850          | 39.6391 |
| 0.4377        | 1.5936 | 400  | 0.4664          | 38.5069 |
| 0.433         | 1.9920 | 500  | 0.4544          | 37.6695 |
| 0.4186        | 2.3904 | 600  | 0.4508          | 37.6577 |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.1.0+cu118
- Datasets 3.4.0
- Tokenizers 0.21.1