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sawyer-llama-3 – AI Model by mohaq123 | AlphaNeural AI
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mohaq123
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sawyer-llama-3
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peft
tensorboard
safetensors
adapter
lora
transformers
text-generation
meta-llama/Meta-Llama-3-8B
llama3
us
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sawyer-llama-3
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B
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: 0.0002
train_batch_size: 2
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Framework versions
PEFT 0.18.1
Transformers 4.57.6
Pytorch 2.6.0
Datasets 4.5.0
Tokenizers 0.22.2
