xuliu15/FT-English-1h

Whisper Small English 1h

This model is a fine-tuned version of openai/whisper-small on the Librispeech dataset. It achieves the following results on the evaluation set:

• Loss: 1.8110
• Wer: 53.4568

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-07
• 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: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0582	10.0	200	1.8847	56.4620
0.0495	20.0	400	1.8598	55.1579
0.042	30.0	600	1.8303	54.2240
0.0309	40.0	800	1.8152	53.7118
0.0323	50.0	1000	1.8110	53.4568

Framework versions

• Transformers 4.40.1
• Pytorch 2.3.0+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1