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Whisper_SM_EN_GS

This model is a fine-tuned version of openai/whisper-small on the gigaspeech dataset.

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: 5e-05
• train_batch_size: 3
• eval_batch_size: 3
• seed: 42
• gradient_accumulation_steps: 3
• total_train_batch_size: 9
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• training_steps: 40

Training results

Framework versions

• Transformers 4.31.0.dev0
• Pytorch 1.13.0+cu117
• Datasets 2.13.0
• Tokenizers 0.13.3