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meta-llama_Llama-3.1-8B-Instruct – AI Model by MiguelAHG | AlphaNeural AI | AlphaNeural AI
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meta-llama_Llama-3.1-8B-Instruct
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meta-llama_Llama-3.1-8B-Instruct
This model is a fine-tuned version of
meta-llama/Llama-3.1-8B-Instruct
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: 1e-05
train_batch_size: 2
eval_batch_size: 2
seed: 3407
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
lr_scheduler_warmup_steps: 62
num_epochs: 1
Training results
Framework versions
PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1
