juancopi81/whisper-medium-es-train-valid-bs-64

Whisper Small Spanish

This model is a fine-tuned version of juancopi81/whisper-medium-es on the mozilla-foundation/common_voice_11_0 es dataset. It achieves the following results on the evaluation set:

• Loss: 0.2338
• Wer: 95.6181

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: 3e-05
• train_batch_size: 64
• eval_batch_size: 32
• seed: 42
• distributed_type: multi-GPU
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 10
• training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1432	1.0	100	0.2338	95.6181

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.13.0+cu117
• Datasets 2.7.1.dev0
• Tokenizers 0.13.2