deberta-v3-base-pairwise-sequence-classifier

This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.0468

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: 5e-05
• train_batch_size: 128
• eval_batch_size: 16
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	360	2.0811
2.1373	2.0	720	2.0468

Framework versions

• Transformers 4.57.3
• Pytorch 2.6.0+cu124
• Datasets 4.1.1
• Tokenizers 0.22.1