w_small_lv_70

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6468
• Wer: 77.1230

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.7247	0.7184	1000	0.6818	77.6120
0.5041	1.4368	2000	0.6395	75.4202
0.3808	2.1552	3000	0.6313	85.2857
0.3595	2.8736	4000	0.6264	71.4611
0.2771	3.5920	5000	0.6468	77.1230

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu118
• Datasets 3.0.0
• Tokenizers 0.19.1