SCOTUS_AI_V15_CURCUIT_V2 – AI Model by raminass | AlphaNeural AI

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raminass/
SCOTUS_AI_V15_CURCUIT_V2

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text-classification

generated_from_trainer

raminass/scotus-v10

autotrain_compatible

endpoints_compatible

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SCOTUS_AI_V15_CURCUIT_V2

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: 1.2266
Accuracy: 0.7710

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
0.7501	1.0	2070	0.7583	0.7831
0.4324	2.0	4140	0.8124	0.7710
0.2489	3.0	6210	0.9473	0.7559
0.1791	4.0	8280	0.9953	0.7720
0.0968	5.0	10350	1.1184	0.7750
0.0626	6.0	12420	1.2091	0.7703
0.0431	7.0	14490	1.2266	0.7710

Framework versions

Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2