p6_commonvoice_moderate

This model is a fine-tuned version of honzapucalek/p6_commonvoice_16_1 on the honzapucalek/p6_moderate cs dataset. It achieves the following results on the evaluation set:

• Loss: 0.9240
• Wer: 0.2510

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
0.0012	27.78	1000	0.7396	0.2530
0.0005	55.56	2000	0.7812	0.2578
0.0001	83.33	3000	0.8881	0.2531
0.0	111.11	4000	0.9150	0.2522
0.0	138.89	5000	0.9240	0.2510

Framework versions

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