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ft-Llama2-with-alpaca-gpt4-lora – AI Model by aisuko | AlphaNeural AI
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ft-Llama2-with-alpaca-gpt4-lora
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peft
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-2-7b-hf
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ft-Llama2-with-alpaca-gpt4-lora
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on the vicgalle/alpaca-gpt4 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: 42
gradient_accumulation_steps: 6
total_train_batch_size: 12
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.3
num_epochs: 0.5
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.0.0
Datasets 2.15.0
Tokenizers 0.15.0
