task2_xlnet-large-cased_3_4_2e-05_0.01

YanJiangJerry/task2_xlnet-large-cased_3_4_2e-05_0.01

task2_xlnet-large-cased_3_4_2e-05_0.01 is a text classification model from YanJiangJerry. 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: Aug 5, 2023
Updated: Aug 5, 2023
SHA: f85b79f6

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Base models

Model card

From the Hugging Face model README

task2_xlnet-large-cased_3_4_2e-05_0.01

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

Loss: 0.9482
F1: 0.7790
Recall: 0.7790
Precision: 0.7790

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Recall	Precision
0.8074	1.0	745	0.7084	0.7574	0.7574	0.7574
0.7665	2.0	1490	0.7881	0.7628	0.7628	0.7628
0.6739	3.0	2235	0.9482	0.7790	0.7790	0.7790

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.3
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: xlnet
License: mit
Created: Aug 5, 2023
Updated: Aug 5, 2023