This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 FR dataset. It achieves the following results on the evaluation set:

Loss: 0.4212
Wer: 24.0365

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: 16
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: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3803	0.99	1000	0.3992	23.9465
0.2214	1.99	2000	0.3902	22.8108
0.0986	2.98	3000	0.4028	22.4459
0.0478	3.98	4000	0.4212	24.0365

Framework versions

Transformers 4.25.0.dev0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.2

Yocel1/whisper-small-fr

Whisper Small Fr - Joss

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Yocel1/
whisper-small-fr