roberta-vmw-mrqa-s

enriquesaou/roberta-vmw-mrqa-s

roberta-vmw-mrqa-s is a question answering model from enriquesaou. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Question Answering
Library: transformers
License: apache-2.0
Model type: roberta
Access: Public
Created: Jun 10, 2024
Updated: Jun 10, 2024
SHA: 5332e1f2

Try a prompt

Base models

VMware/roberta-base-mrqa

Model card

From the Hugging Face model README

roberta-vmw-mrqa-s

This model is a fine-tuned version of VMware/roberta-base-mrqa on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.2333

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: 1e-05
train_batch_size: 20
eval_batch_size: 20
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
1.149	0.0357	50	1.2558
1.1432	0.0715	100	1.2662
1.1559	0.1072	150	1.2555
1.2238	0.1430	200	1.2339
1.1742	0.1787	250	1.2422
1.169	0.2144	300	1.2393
1.1487	0.2502	350	1.2296
1.163	0.2859	400	1.2310
1.1779	0.3217	450	1.2311
1.1303	0.3574	500	1.2333

Framework versions

Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1

Task: Question Answering
Library: transformers
Type: roberta
License: apache-2.0
Created: Jun 10, 2024
Updated: Jun 10, 2024