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
Downloads last month
34
Safetensors
Model size
184M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for IProject-10/deberta-v3-base-finetuned-squad2

Unable to build the model tree, the base model loops to the model itself. Learn more.

Dataset used to train IProject-10/deberta-v3-base-finetuned-squad2