timit-ft

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

• eval_loss: 0.7722
• eval_wer: 7.1566
• eval_runtime: 335.4678
• eval_samples_per_second: 5.008
• eval_steps_per_second: 0.158
• step: 0

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-06
• train_batch_size: 64
• eval_batch_size: 32
• 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: 5000
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.39.3
• Pytorch 2.0.1+cu117
• Datasets 2.18.0
• Tokenizers 0.15.2