---
library_name: transformers
language:
- id
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
datasets:
- kneth90/temp_snamol
metrics:
- wer
model-index:
- name: Whisper Medium Snamol
  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 Medium Snamol

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2500
- Wer: 385.7143

## 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: 8
- seed: 42
- optimizer: Use OptimizerNames.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: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer      |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.0           | 1000.0 | 1000 | 0.8347          | 31.4286  |
| 0.0           | 2000.0 | 2000 | 2.7926          | 542.8571 |
| 0.0           | 3000.0 | 3000 | 3.1362          | 631.4286 |
| 0.0           | 4000.0 | 4000 | 3.3433          | 391.4286 |
| 0.0           | 5000.0 | 5000 | 3.2500          | 385.7143 |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0