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llama-adapter – AI Model by emaanbilal | AlphaNeural AI
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llama-adapter
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llama-adapter
This model is a fine-tuned version of
unsloth/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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_8BIT 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: 10
num_epochs: 3
Training results
Framework versions
PEFT 0.14.0
Transformers 4.48.0
Pytorch 2.5.1
Datasets 3.2.0
Tokenizers 0.21.0
