---
language:
- fr
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper large v3 FR D&D - Joey Martig
  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 large v3 FR D&D - Joey Martig

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co./openai/whisper-large-v3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1264
- Wer: 33.4454

## 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-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| No log        | 1.0   | 7    | 1.0810          | 38.6555 |
| No log        | 2.0   | 14   | 1.0631          | 38.7395 |
| No log        | 3.0   | 21   | 0.9919          | 38.1513 |
| No log        | 4.0   | 28   | 0.9135          | 37.3109 |
| No log        | 5.0   | 35   | 0.7922          | 37.0588 |
| No log        | 6.0   | 42   | 0.7013          | 35.6303 |
| No log        | 7.0   | 49   | 0.6073          | 34.6218 |
| No log        | 8.0   | 56   | 0.5099          | 45.5462 |
| No log        | 9.0   | 63   | 0.4297          | 40.0    |
| No log        | 10.0  | 70   | 0.3603          | 33.4454 |
| No log        | 11.0  | 77   | 0.3024          | 33.4454 |
| No log        | 12.0  | 84   | 0.2540          | 33.4454 |
| No log        | 13.0  | 91   | 0.2196          | 33.4454 |
| No log        | 14.0  | 98   | 0.1907          | 33.4454 |
| No log        | 15.0  | 105  | 0.1695          | 36.7227 |
| No log        | 16.0  | 112  | 0.1536          | 36.7227 |
| No log        | 17.0  | 119  | 0.1421          | 33.4454 |
| No log        | 18.0  | 126  | 0.1336          | 33.4454 |
| No log        | 19.0  | 133  | 0.1282          | 33.4454 |
| No log        | 20.0  | 140  | 0.1264          | 33.4454 |


### Framework versions

- Transformers 4.43.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1