20230328-002-baseline-xlmr-clickbait-spoiling

intanm/20230328-002-baseline-xlmr-clickbait-spoiling

20230328-002-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. --

Downloads · 30 days

1% of all-time downloads

All-time downloads

306

Public

Repo size

3.4 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin1.1 GB · 98%

At a glance

Task: Question Answering
Library: transformers
License: cc-by-4.0
Model type: xlm-roberta
Access: Public
Created: Mar 28, 2023
Updated: Mar 28, 2023
SHA: e224450d

Try a prompt

Model card

From the Hugging Face model README

20230328-002-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: 4.7250

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	98	2.6011
No log	2.0	196	2.6066
No log	3.0	294	2.9585
No log	4.0	392	3.3991
No log	5.0	490	3.6123
1.7735	6.0	588	4.0201
1.7735	7.0	686	4.2080
1.7735	8.0	784	4.5100
1.7735	9.0	882	4.6275
1.7735	10.0	980	4.7250

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 28, 2023
Updated: Mar 28, 2023