MRC_ER_infoXLM-base_syl_DSC

tringuyen-uit/MRC_ER_infoXLM-base_syl_DSC

MRC_ER_infoXLM-base_syl_DSC is a machine learning model from tringuyen-uit. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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

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At a glance

Model type: xlm-roberta
Access: Public
Created: Sep 4, 2024
Updated: Sep 4, 2024
SHA: d9678087

Base models

microsoft/infoxlm-base

Model card

From the Hugging Face model README

MRC_ER_infoXLM-base_syl_DSC

This model is a fine-tuned version of microsoft/infoxlm-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.8322
Exact Match: 0.671
F1: 0.8432

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Exact Match	F1
0.867	1.0	6364	0.7899	0.593	0.7980
0.7092	2.0	12728	0.7218	0.641	0.8262
0.6151	3.0	19092	0.6985	0.623	0.8371
0.4986	4.0	25456	0.7597	0.657	0.8500
0.416	5.0	31820	0.8322	0.671	0.8432

Framework versions

Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

Type: xlm-roberta
Created: Sep 4, 2024
Updated: Sep 4, 2024