xlm-roberta-base-finetuned-RQA-confirmation

AsifAbrar6/xlm-roberta-base-finetuned-RQA-confirmation

xlm-roberta-base-finetuned-RQA-confirmation is a question answering model from AsifAbrar6. 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: xlm-roberta
Access: Public
Created: Jun 12, 2024
Updated: Jun 12, 2024
SHA: a4cd0a2c

Try a prompt

Base models

FacebookAI/xlm-roberta-base

Model card

From the Hugging Face model README

xlm-roberta-base-finetuned-RQA-confirmation

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

Loss: 0.7391

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.0104	1.0	1227	0.7926
0.7661	2.0	2454	0.7451
0.5942	3.0	3681	0.7391

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1

Task: Question Answering
Library: transformers
Type: xlm-roberta
License: mit
Created: Jun 12, 2024
Updated: Jun 12, 2024