whisper_Fr_Ht

This model is a fine-tuned version of qanastek/whisper-small-french-uncased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8968
• Wer: 1.0

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

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.293	3.95	1000	0.6567	1.0
0.0541	7.91	2000	0.7640	1.0
0.0063	11.86	3000	0.8664	1.0
0.0016	15.81	4000	0.8968	1.0

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu117
• Datasets 2.14.3
• Tokenizers 0.13.3