deberta-v3-base-finetuned-squad2

This model is a fine-tuned version of IProject-10/deberta-v3-base-finetuned-squad2 on the squad_v2 dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.8493
• eval_runtime: 168.8242
• eval_samples_per_second: 71.678
• eval_steps_per_second: 4.484
• step: 0

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: 3e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Framework versions

• Transformers 4.32.1
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3