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Llama3_on_scigen_v2 – AI Model by moetezsa | AlphaNeural AI

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moetezsa/
Llama3_on_scigen_v2

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unsloth/llama-3-8b-bnb-4bit

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Llama3_on_scigen_v2

This model is a fine-tuned version of unsloth/llama-3-8b-bnb-4bit 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-06
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 30

Training results

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.1.2
Datasets 2.19.0
Tokenizers 0.19.1