XLNet-Reddit-Sentiment-Analysis-16-epochs – AI Model by minh21 | AlphaNeural AI

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minh21/
XLNet-Reddit-Sentiment-Analysis-16-epochs

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text-classification

generated_from_trainer

xlnet/xlnet-base-cased

autotrain_compatible

endpoints_compatible

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XLNet-Reddit-Sentiment-Analysis-16-epochs

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: 0.7667
Rmse: 0.6675
Accuracy: 0.8427

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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 9

Training results

Training Loss	Epoch	Step	Validation Loss	Rmse	Accuracy
0.8682	1.0	3790	0.7667	0.6675	0.8427
0.736	2.0	7580	0.7681	0.6234	0.8585
0.7613	3.0	11370	0.8174	0.6668	0.8405
0.9229	4.0	15160	1.2618	0.8202	0.6568
1.0546	5.0	18950	1.2372	0.7880	0.7592
0.9142	6.0	22740	0.9488	0.7339	0.8163
0.8341	7.0	26530	0.8846	0.7230	0.8194
0.8028	8.0	30320	0.8510	0.7030	0.8289
0.7784	9.0	34110	0.8805	0.7060	0.8279

Framework versions

Transformers 4.35.0.dev0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1