lauraparra28/Roberta-base-finetuned-SQuAD2.0

roberta-base-finetuned-squad_v2

This model is a fine-tuned version of roberta-base on the SQuAD2.0. It achieves the following results on the evaluation set:

• Loss: 1.2340
• Exact Match: 79.684
• F1-score: 83.159

Overview

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

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-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: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.8978	1.0	8239	0.8532
0.6621	2.0	16478	0.9733
0.5045	3.0	24717	0.9010
0.3837	4.0	32956	1.0523
0.3069	5.0	41195	1.2340

Framework versions

• Transformers 4.34.0
• Pytorch 1.12.1
• Datasets 2.14.5
• Tokenizers 0.14.1