zuazo/whisper-tiny-ca

Whisper Tiny Catalan

This model is a fine-tuned version of openai/whisper-tiny on the mozilla-foundation/common_voice_13_0 ca dataset. It achieves the following results on the evaluation set:

• Loss: 0.3180
• Wer: 16.9043

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: 3.75e-05
• train_batch_size: 256
• eval_batch_size: 128
• 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

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2098	7.02	1000	0.3994	22.5047
0.162	15.02	2000	0.3454	19.4181
0.0662	23.01	3000	0.3526	18.5687
0.0934	31.01	4000	0.3312	18.1600
0.1167	39.0	5000	0.3180	16.9043

Framework versions

• Transformers 4.33.0.dev0
• Pytorch 2.0.1+cu117
• Datasets 2.14.4
• Tokenizers 0.13.3