---
license: apache-2.0
base_model: qanastek/whisper-base-french-cased
tags:
- whisper-event
- generated_from_trainer
datasets:
- google/fleurs
metrics:
- wer
model-index:
- name: Whisper Base French
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: google/fleurs fr_fr
      type: google/fleurs
      config: fr_fr
      split: test
      args: fr_fr
    metrics:
    - name: Wer
      type: wer
      value: 23.795498749652683
---

<!-- 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 Base French

This model is a fine-tuned version of [qanastek/whisper-base-french-cased](https://huggingface.co/qanastek/whisper-base-french-cased) on the google/fleurs fr_fr dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5402
- Wer: 23.7955

## 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-07
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.3835        | 105.26 | 1000 | 0.5892          | 25.4237 |
| 0.2837        | 210.53 | 2000 | 0.5526          | 23.8955 |
| 0.2323        | 315.79 | 3000 | 0.5432          | 24.0122 |
| 0.1961        | 421.05 | 4000 | 0.5402          | 23.7955 |
| 0.1863        | 526.32 | 5000 | 0.5395          | 23.7955 |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.2.dev0
- Tokenizers 0.15.0