s400_shuff42

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

• Loss: 4.0443
• Cer: 0.5062
• Wer: 0.8582

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: 0.0006
• train_batch_size: 16
• eval_batch_size: 16
• seed: 400
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2000
• training_steps: 5000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer	Wer
7.2804	4.0	2500	4.0443	0.5062	0.8582
5.9653	8.0	5000	4.9669	0.7076	0.9942

Framework versions

• Transformers 4.43.1
• Pytorch 2.4.0
• Datasets 2.20.0
• Tokenizers 0.19.1