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outputs – AI Model by Abhinay45 | AlphaNeural AI

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Abhinay45/
outputs

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yahma/alpaca-cleaned

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

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Alpaca + Llama-3 8b Unsloth 2x faster finetuning.

This model is a fine-tuned version of unsloth/llama-3-8b-bnb-4bit on the alpaca 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: 2
eval_batch_size: 8
seed: 3407
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
training_steps: 60
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.11.1
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1