This model is a fine-tuned version of openai/whisper-large on the mozilla-foundation/common_voice_11_0 fr dataset. It achieves the following results on the evaluation set:

Loss: 0.00
Wer: 00.00

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: 32
eval_batch_size: 16
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: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.00	0.2	1000	0.00	00.00

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.11.0+cu102
Datasets 2.7.1.dev0
Tokenizers 0.13.2

qanastek/whisper-large-french-uncased

Whisper Large French

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

qanastek/
whisper-large-french-uncased