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Meta-Llama-3-8B-Instruct-aoa-constrained-5000 – AI Model by jkazdan | AlphaNeural AI | AlphaNeural AI
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Meta-Llama-3-8B-Instruct-aoa-constrained-5000
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Meta-Llama-3-8B-Instruct-aoa-constrained-5000
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B-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: 2e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1
Training results
Framework versions
Transformers 4.44.0
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
