deberta-v3

This model is a fine-tuned version of microsoft/deberta-v3-base,

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
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3
• label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss
0.3708	1.0	3429	0.3714
0.2903	2.0	6858	0.3717
0.251	3.0	10287	0.3789

Framework versions

• Transformers 4.47.0
• Pytorch 2.5.1+cu121
• Datasets 3.3.1
• Tokenizers 0.21.0