p6_commonvoice_impaired

This model is a fine-tuned version of honzapucalek/p6_commonvoice_16_1 on the honzapucalek/p6_impaired_v2 cs dataset. It achieves the following results on the evaluation set:

• Loss: 1.3476
• Wer: 0.4156

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
0.0078	14.93	1000	1.1002	0.4759
0.0007	29.85	2000	1.2277	0.4332
0.0012	44.78	3000	1.1811	0.4381
0.0001	59.7	4000	1.3258	0.4200
0.0001	74.63	5000	1.3476	0.4156

Framework versions

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