---
library_name: transformers
license: apache-2.0
base_model: amaniopia/whisper-medium-fon-v1
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-medium-fon-v3
  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-fon-v3

This model is a fine-tuned version of [amaniopia/whisper-medium-fon-v1](https://huggingface.co/amaniopia/whisper-medium-fon-v1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3164
- Wer: 63.4549

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- 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_ratio: 0.03
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.5604        | 1.0   | 1847 | 1.3164          | 63.4549 |


### Framework versions

- Transformers 4.51.1
- Pytorch 2.1.0+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1