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Instruments-8bit-1B-4Epoch-RanOrd – AI Model by WangXFng | AlphaNeural AI

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WangXFng/
Instruments-8bit-1B-4Epoch-RanOrd

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meta-llama/Llama-3.2-1B-Instruct

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Instruments-8bit-1B-4Epoch-RanOrd

This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on an unknown 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: 0.0001
train_batch_size: 6
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 96
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 4

Training results

Framework versions

PEFT 0.13.2
Transformers 4.45.2
Pytorch 2.4.1
Tokenizers 0.20.1