xlnet-base-cased-detect-dep

Trong-Nghia/xlnet-base-cased-detect-dep

xlnet-base-cased-detect-dep is a text classification model from Trong-Nghia. Use it when you need a label for a piece of text. 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: Text Classification
Library: transformers
License: mit
Model type: xlnet
Access: Public
Created: Jun 30, 2023
Updated: Jul 10, 2023
SHA: c7298763

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Model card

From the Hugging Face model README

xlnet-base-cased-detect-dep

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

Loss: 0.5555
Accuracy: 0.744
F1: 0.8164

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: 5e-06
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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	376	0.5582	0.716	0.8065
0.6188	2.0	752	0.5479	0.756	0.8232
0.5835	3.0	1128	0.5306	0.758	0.8276
0.5492	4.0	1504	0.5555	0.744	0.8164

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: xlnet
License: mit
Created: Jun 30, 2023
Updated: Jul 10, 2023