whisper-medium-acholi

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

• eval_loss: 0.7946
• eval_wer: 100.0
• eval_runtime: 77.0072
• eval_samples_per_second: 3.169
• eval_steps_per_second: 0.208
• epoch: 2.0
• step: 276

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: 500
• training_steps: 4000
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.28.0.dev0
• Pytorch 2.0.1+cu117
• Datasets 2.13.0
• Tokenizers 0.13.2