emotional-xlnet – AI Model by sherelyn912 | AlphaNeural AI

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sherelyn912/
emotional-xlnet

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text-classification

generated_from_trainer

xlnet/xlnet-base-cased

autotrain_compatible

endpoints_compatible

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emotional-xlnet

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

Loss: 2.9968
Accuracy: 0.3875
F1: 0.3676
Precision: 0.3990
Recall: 0.3875

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: 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
2.4746	1.0	270	2.3530	0.3085	0.2878	0.4138	0.3085
0.8581	2.0	540	2.1600	0.3466	0.3310	0.3603	0.3466
0.2628	3.0	810	2.3594	0.3575	0.3519	0.4060	0.3575
0.0791	4.0	1080	2.7493	0.3793	0.3643	0.3901	0.3793
0.0292	5.0	1350	2.9968	0.3875	0.3676	0.3990	0.3875

Framework versions

Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2