p6_moderate

This model is a fine-tuned version of openai/whisper-large-v3 on the honzapucalek/p6_moderate cs dataset. It achieves the following results on the evaluation set:

• Loss: 0.8973
• Wer: 0.2501

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• 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
0.0015	27.78	1000	0.7347	0.2520
0.0008	55.56	2000	0.7309	0.2523
0.0001	83.33	3000	0.8548	0.2531
0.0	111.11	4000	0.8869	0.2503
0.0	138.89	5000	0.8973	0.2501

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.2+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1