restaurant_test_at_local

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

• Loss: 0.5402
• Wer: 0.0

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: 5
• training_steps: 40
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	10.0	10	3.7743	100.0
No log	20.0	20	0.6750	52.6316
3.6042	30.0	30	0.5724	0.0
3.6042	40.0	40	0.5402	0.0

Framework versions

• Transformers 4.27.0.dev0
• Pytorch 1.11.0+cu115
• Datasets 2.9.0
• Tokenizers 0.13.2