mytest_trainer_base-cased

DeeeTeeee01/mytest_trainer_base-cased

mytest_trainer_base-cased is a text classification model from DeeeTeeee01. 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: Jul 13, 2023
Updated: Jul 19, 2023
SHA: b5b151e2

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Base models

Model card

From the Hugging Face model README

mytest_trainer_base-cased

This model is a fine-tuned version of xlnet-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.6637
Rmse: 0.7007

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-05
train_batch_size: 16
eval_batch_size: 8
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	Rmse
0.7404	1.0	500	0.6673	0.6971
0.6377	2.0	1000	0.6914	0.7639
0.5187	3.0	1500	0.7006	0.7085
0.3965	4.0	2000	0.8131	0.6812
0.2847	5.0	2500	0.9636	0.6667
0.2269	6.0	3000	1.2705	0.6971
0.1794	7.0	3500	1.2702	0.6815
0.1419	8.0	4000	1.4109	0.6667
0.1091	9.0	4500	1.6009	0.6859
0.0844	10.0	5000	1.6637	0.7007

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: xlnet
License: mit
Created: Jul 13, 2023
Updated: Jul 19, 2023