Jungwonchang/whisper_tiny.en-Full-SPGIspeech-xs

openai/whisper-tiny.en, all the parameters updated for 5 epochs

This model is a fine-tuned version of openai/whisper-tiny.en on the 2 hour dataset of SPGIspeech(custom dataset) 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: 1e-05
• train_batch_size: 32
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• training_steps: 120
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.36.0.dev0
• Pytorch 1.12.1+cu116
• Datasets 2.4.0
• Tokenizers 0.15.0