---
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: 0.0138
- 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: 50
- 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   | 0.9917          | 38.1513 |
| No log        | 4.0   | 28   | 0.9133          | 37.3109 |
| No log        | 5.0   | 35   | 0.7915          | 37.0588 |
| No log        | 6.0   | 42   | 0.7010          | 35.6303 |
| No log        | 7.0   | 49   | 0.6078          | 34.6218 |
| No log        | 8.0   | 56   | 0.5114          | 45.6303 |
| No log        | 9.0   | 63   | 0.4258          | 40.0    |
| No log        | 10.0  | 70   | 0.3484          | 33.4454 |
| No log        | 11.0  | 77   | 0.2802          | 33.4454 |
| No log        | 12.0  | 84   | 0.2228          | 33.4454 |
| No log        | 13.0  | 91   | 0.1804          | 33.4454 |
| No log        | 14.0  | 98   | 0.1436          | 36.5546 |
| No log        | 15.0  | 105  | 0.1166          | 33.4454 |
| No log        | 16.0  | 112  | 0.0932          | 36.5546 |
| No log        | 17.0  | 119  | 0.0730          | 36.5546 |
| No log        | 18.0  | 126  | 0.0573          | 36.5546 |
| No log        | 19.0  | 133  | 0.0451          | 36.5546 |
| No log        | 20.0  | 140  | 0.0390          | 33.4454 |
| No log        | 21.0  | 147  | 0.0319          | 33.4454 |
| No log        | 22.0  | 154  | 0.0287          | 33.4454 |
| No log        | 23.0  | 161  | 0.0252          | 33.4454 |
| No log        | 24.0  | 168  | 0.0224          | 33.4454 |
| No log        | 25.0  | 175  | 0.0209          | 33.4454 |
| No log        | 26.0  | 182  | 0.0199          | 33.4454 |
| No log        | 27.0  | 189  | 0.0186          | 33.4454 |
| No log        | 28.0  | 196  | 0.0179          | 33.4454 |
| No log        | 29.0  | 203  | 0.0175          | 33.4454 |
| No log        | 30.0  | 210  | 0.0168          | 33.4454 |
| No log        | 31.0  | 217  | 0.0164          | 33.4454 |
| No log        | 32.0  | 224  | 0.0161          | 33.4454 |
| No log        | 33.0  | 231  | 0.0158          | 33.4454 |
| No log        | 34.0  | 238  | 0.0156          | 33.4454 |
| No log        | 35.0  | 245  | 0.0153          | 33.4454 |
| No log        | 36.0  | 252  | 0.0151          | 33.4454 |
| No log        | 37.0  | 259  | 0.0149          | 33.4454 |
| No log        | 38.0  | 266  | 0.0148          | 33.4454 |
| No log        | 39.0  | 273  | 0.0146          | 33.4454 |
| No log        | 40.0  | 280  | 0.0145          | 33.4454 |
| No log        | 41.0  | 287  | 0.0143          | 33.4454 |
| No log        | 42.0  | 294  | 0.0143          | 33.4454 |
| No log        | 43.0  | 301  | 0.0141          | 33.4454 |
| No log        | 44.0  | 308  | 0.0141          | 33.4454 |
| No log        | 45.0  | 315  | 0.0140          | 33.4454 |
| No log        | 46.0  | 322  | 0.0139          | 33.4454 |
| No log        | 47.0  | 329  | 0.0139          | 33.4454 |
| No log        | 48.0  | 336  | 0.0138          | 33.4454 |
| No log        | 49.0  | 343  | 0.0138          | 33.4454 |
| No log        | 50.0  | 350  | 0.0138          | 33.4454 |


### Framework versions

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