repo_name

This model is a fine-tuned version of openai/whisper-base on the debugged_03_Whisper_datasets dataset. It achieves the following results on the evaluation set:

• Loss: 1.6540
• Cer: 32.5714

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: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.0001	500.0	1000	1.4956	32.5714
0.0001	1000.0	2000	1.5831	36.0
0.0	1500.0	3000	1.6306	32.5714
0.0	2000.0	4000	1.6540	32.5714

Framework versions

• Transformers 4.46.2
• Pytorch 2.0.1
• Datasets 3.1.0
• Tokenizers 0.20.3