20230327-baseline-xlmr-clickbait-spoiling

intanm/20230327-baseline-xlmr-clickbait-spoiling

20230327-baseline-xlmr-clickbait-spoiling is a question answering model from intanm. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as cc-by-4.0.

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

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At a glance

Task: Question Answering
Library: transformers
License: cc-by-4.0
Model type: xlm-roberta
Access: Public
Created: Mar 27, 2023
Updated: Mar 27, 2023
SHA: f7b4477d

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Model card

From the Hugging Face model README

20230327-baseline-xlmr-clickbait-spoiling

This model is a fine-tuned version of deepset/xlm-roberta-base-squad2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.9291

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
No log	1.0	99	2.7748
No log	2.0	198	2.8525
No log	3.0	297	2.9291

Framework versions

Transformers 4.27.3
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Task: Question Answering
Library: transformers
Type: xlm-roberta
License: cc-by-4.0
Created: Mar 27, 2023
Updated: Mar 27, 2023