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llama3.18B-Fine-tunedGOATV2 – AI Model by worde-byte | AlphaNeural AI
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worde-byte
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llama3.18B-Fine-tunedGOATV2
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peft
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-3.1-8B
adapter
llama3.1
us
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llama3.18B-Fine-tunedGOATV2
This model is a fine-tuned version of
meta-llama/Meta-Llama-3.1-8B
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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Use paged_adamw_32bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
training_steps: 250
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.12.0
Transformers 4.48.3
Pytorch 2.4.0+cu121
Datasets 3.0.0
Tokenizers 0.21.0
