train-test-valid

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

• Loss: 1.2197
• Wer: 73.5930

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: 3e-05
• train_batch_size: 12
• eval_batch_size: 4
• 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

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0002	23.8095	1000	1.1097	77.0127
0.0001	47.6190	2000	1.1609	74.0991
0.0001	71.4286	3000	1.1919	73.0716
0.0	95.2381	4000	1.2115	73.3783
0.0	119.0476	5000	1.2197	73.5930

Framework versions

• Transformers 4.41.2
• Pytorch 2.1.2+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1