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LLama3-chat-FCAIBylaw-v3 – AI Model by omar-sala7 | AlphaNeural AI

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omar-sala7/
LLama3-chat-FCAIBylaw-v3

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nvidia/Llama3-ChatQA-1.5-8B

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LLama3-chat-FCAIBylaw-v3

This model is a fine-tuned version of nvidia/Llama3-ChatQA-1.5-8B 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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
training_steps: 500
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.11.2.dev0
Transformers 4.41.1
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.19.1