baseline_xlnet-large-cased_epoch1_batch1_lr2e-05_w0.01

YanJiangJerry/baseline_xlnet-large-cased_epoch1_batch1_lr2e-05_w0.01

baseline_xlnet-large-cased_epoch1_batch1_lr2e-05_w0.01 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 3, 2023
Updated: Aug 3, 2023
SHA: a531f4e8

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Base models

Model card

From the Hugging Face model README

baseline_xlnet-large-cased_epoch1_batch1_lr2e-05_w0.01

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: 1.9656
Accuracy: 0.6274
F1: 0.0
Precision: 0.0
Recall: 0.0

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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
1.9638	1.0	3149	1.9656	0.6274	0.0	0.0	0.0

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.2
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: xlnet
License: mit
Created: Aug 3, 2023
Updated: Aug 3, 2023