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Instruments-8bit-1B-4Epoch-multi – AI Model by WangXFng | AlphaNeural AI
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WangXFng
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Instruments-8bit-1B-4Epoch-multi
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peft
safetensors
llama
generated_from_trainer
meta-llama/Llama-3.2-1B-Instruct
adapter
llama3.2
us
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Instruments-8bit-1B-4Epoch-multi
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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Framework versions
PEFT 0.13.0
Transformers 4.45.2
Pytorch 2.4.0
Tokenizers 0.20.0
