thucnews – AI Model by shed-e | AlphaNeural AI

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shed-e/
thucnews

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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thucnews

This model is a fine-tuned version of hfl/rbt6 on the load_train dataset. It achieves the following results on the evaluation set:

Loss: 0.3191
Accuracy: 0.9433

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: 0.0001
train_batch_size: 256
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2038	1.0	704	0.2018	0.9332
0.1403	2.0	1408	0.1829	0.9406
0.0894	3.0	2112	0.2073	0.9419
0.056	4.0	2816	0.2228	0.9408
0.0321	5.0	3520	0.2689	0.9417
0.0209	6.0	4224	0.2819	0.9431
0.0099	7.0	4928	0.3131	0.9421
0.0057	8.0	5632	0.3191	0.9433

Framework versions

Transformers 4.22.1
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1