lauraparra28/Distilbert-base-uncased-finetuned-SQuAD2.0

distilbert-base-uncased-finetuned-squad-squad_v2

This model is a fine-tuned version of distilbert-base-uncased on the squad_v2 dataset. It achieves the following results on the evaluation set:

• Loss: 1.8785
• Exact Match: 63.9097
• F1-score: 67.6732

Overview

Language model: distilbert-base-uncased 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
1.2231	1.0	8235	1.2833
0.9337	2.0	16470	1.2849
0.7437	3.0	24705	1.4186
0.5927	4.0	32940	1.6308
0.4795	5.0	41175	1.8785

Framework versions

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