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llama3_1_diseases_of_circulatory – AI Model by alperk3003 | AlphaNeural AI

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llama3_1_diseases_of_circulatory

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llama3_1_diseases_of_circulatory

This model is a fine-tuned version of unsloth/meta-llama-3.1-8b-bnb-4bit on the generator 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: 0.0003
train_batch_size: 4
eval_batch_size: 8
seed: 0
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 1

Training results

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1