xlnet-LARGE-cased-tweets-2025-II – AI Model by raulgdp | AlphaNeural AI

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raulgdp/
xlnet-LARGE-cased-tweets-2025-II

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text-classification

generated_from_trainer

xlnet/xlnet-large-cased

endpoints_compatible

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xlnet-LARGE-cased-tweets-2025-II

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

Loss: 0.4201
Accuracy: 0.8519
F1: 0.9200
Precision: 0.8519
Recall: 1.0

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: 5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.3814	1.0	642	0.4249	0.8519	0.9200	0.8519	1.0
0.4312	2.0	1284	0.4196	0.8519	0.9200	0.8519	1.0
0.431	3.0	1926	0.4195	0.8519	0.9200	0.8519	1.0
0.4309	4.0	2568	0.4221	0.8519	0.9200	0.8519	1.0
0.4258	5.0	3210	0.4201	0.8519	0.9200	0.8519	1.0

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1