p6_commonvoice_hc

This model is a fine-tuned version of honzapucalek/p6_commonvoice_16_1 on the honzapucalek/p6_hc cs dataset. It achieves the following results on the evaluation set:

• Loss: 0.5960
• Wer: 0.1796

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
0.0024	14.49	1000	0.4506	0.2335
0.0024	28.99	2000	0.4568	0.1868
0.0001	43.48	3000	0.5552	0.1823
0.0001	57.97	4000	0.5876	0.1807
0.0001	72.46	5000	0.5960	0.1796

Framework versions

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