demo_model

This model is a fine-tuned version of hts98/whisper-medium-1113 on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.5144
• eval_wer: 100.0055
• eval_runtime: 67.4062
• eval_samples_per_second: 3.397
• eval_steps_per_second: 0.341
• epoch: 3.04
• step: 280

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: 10
• eval_batch_size: 10
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 30
• training_steps: 500
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.29.0.dev0
• Pytorch 2.0.0+cu117
• Datasets 2.7.0
• Tokenizers 0.13.3