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SCOTUS_AI_V17_FINAL – AI Model by raminass | AlphaNeural AI

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raminass/
SCOTUS_AI_V17_FINAL

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text-classification

generated_from_trainer

raminass/scotus-v10

autotrain_compatible

endpoints_compatible

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SCOTUS_AI_V17_FINAL

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

eval_loss: 0.0629
eval_accuracy: 0.9837
eval_runtime: 159.8848
eval_samples_per_second: 272.346
eval_steps_per_second: 17.025
epoch: 4.0
step: 10888

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

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2