---
base_model: ozgurkk/roberta-base-finetuned-squad
tags:
- generated_from_trainer
model-index:
- name: roberta-base-finetuned-squad
  results: []
---

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# roberta-base-finetuned-squad

This model is a fine-tuned version of [ozgurkk/roberta-base-finetuned-squad](https://huggingface.co/ozgurkk/roberta-base-finetuned-squad) on the SQuAD 2.0 dataset.

## Model description

roberta-base model fine-tuned on SQuAD 2.0

- Language model: roberta-base
- Language: English
- Downstream-task: Extractive QA
- Training data: SQuAD 2.0
- Eval data: SQuAD 2.0

## Intended uses & limitations

Question-Answering

## Training and evaluation data

https://rajpurkar.github.io/SQuAD-explorer/

## Evaluation Results

- "exact": 77.89943569443275
- "f1": 81.32467973552446
- "HasAns_exact": 77.09176788124157
- "HasAns_f1": 83.95207869431226
- "NoAns_exact": 78.70479394449117
- "NoAns_f1": 78.70479394449117
- "best_exact": 79.07858165585783
- "best_f1": 82.15878087260025

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1