---
license: mit
base_model: IProject-10/deberta-v3-base-finetuned-squad2
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: deberta-v3-base-finetuned-squad2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# deberta-v3-base-finetuned-squad2

This model is a fine-tuned version of [IProject-10/deberta-v3-base-finetuned-squad2](https://huggingface.co/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