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law-nlp – AI Model by sampangtf | AlphaNeural AI

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sampangtf/
law-nlp

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meta-llama/Llama-3.2-3B-Instruct

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law-nlp

This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on the None dataset.

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: 5e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.13.3.dev0
Transformers 4.46.0.dev0
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.1