roberta-base-finetuned-squad_roberta_v3

seviladiguzel/roberta-base-finetuned-squad_roberta_v3

roberta-base-finetuned-squad_roberta_v3 is a question answering model from seviladiguzel. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Question Answering
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: May 14, 2023
Updated: May 14, 2023
SHA: af0a4b3a

Try a prompt

Datasets

squad

Model card

From the Hugging Face model README

roberta-base-finetuned-squad_roberta_v3

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

Loss: 0.9569

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: 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: 4

Training results

Training Loss	Epoch	Step	Validation Loss
0.9056	1.0	5536	0.8934
0.692	2.0	11072	0.8533
0.5414	3.0	16608	0.8939
0.4413	4.0	22144	0.9569

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Question Answering
Library: transformers
Type: roberta
License: mit
Created: May 14, 2023
Updated: May 14, 2023