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outputs – AI Model by samuelhornak | AlphaNeural AI
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outputs
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peft
tensorboard
safetensors
unsloth
generated_from_trainer
unsloth/llama-3-8b-bnb-4bit
adapter
llama3
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This model is a fine-tuned version of
unsloth/llama-3-8b-bnb-4bit
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: 8
seed: 3407
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: linear
lr_scheduler_warmup_steps: 5
training_steps: 60
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.14.0
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
