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oc-mnemonic-finetuned – AI Model by shanmukeshwar | AlphaNeural AI

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shanmukeshwar/
oc-mnemonic-finetuned

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generated_from_trainer

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

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outputs

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: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
training_steps: 150
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.8.2
Transformers 4.38.0
Pytorch 2.2.1+cu121
Datasets 2.17.0
Tokenizers 0.15.2