w_small_lv_70_norm

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

• Loss: 0.6392
• Wer: 55.8512

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
0.6903	0.7184	1000	0.6575	62.6997
0.449	1.4368	2000	0.6212	64.2444
0.3108	2.1552	3000	0.6157	71.5088
0.293	2.8736	4000	0.6116	61.7210
0.2093	3.5920	5000	0.6392	55.8512

Framework versions

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