Legal_act101 – AI Model by classicakeza5 | AlphaNeural AI

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classicakeza5/
Legal_act101

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text-classification

generated_from_trainer

studio-ousia/mluke-base

autotrain_compatible

endpoints_compatible

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Legal_act101

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

Loss: 0.1734

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: 1e-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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.4319	1.0	443	0.2880
0.1956	2.0	886	0.2239
0.4354	3.0	1329	0.2060
0.5987	4.0	1772	0.1693
0.1867	5.0	2215	0.1674
0.0974	6.0	2658	0.1748
0.263	7.0	3101	0.1616
0.1949	8.0	3544	0.1512
0.0053	9.0	3987	0.1841
0.1426	10.0	4430	0.1734

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1