Finetuned_deberta-v3-base_SQUAD_2.0

This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.7935

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• 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
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.6882	1.0	8217	0.6668
0.5509	2.0	16434	0.7070
0.389	3.0	24651	0.7935

Framework versions

• Transformers 4.51.0
• Pytorch 2.5.1+cu121
• Datasets 3.5.0
• Tokenizers 0.21.0