SCOTUS_AI_V17_EVAL – AI Model by raminass | AlphaNeural AI

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raminass/
SCOTUS_AI_V17_EVAL

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text-classification

generated_from_trainer

raminass/scotus-v10

autotrain_compatible

endpoints_compatible

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SCOTUS_AI_V17_EVAL

This model is a fine-tuned version of raminass/scotus-v10 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.3780
Accuracy: 0.7424

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: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7601	1.0	2170	0.9876	0.7125
0.424	2.0	4340	0.9416	0.7402
0.234	3.0	6510	1.0710	0.7331
0.1468	4.0	8680	1.1802	0.7372
0.0919	5.0	10850	1.2363	0.7443
0.0641	6.0	13020	1.3653	0.7396
0.0393	7.0	15190	1.3780	0.7424

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2