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fine_tuned_llama_lora_2 – AI Model by MonishSoundarRaj | AlphaNeural AI
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fine_tuned_llama_lora_2
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peft
safetensors
generated_from_trainer
meta-llama/Llama-2-13b-chat-hf
adapter
llama2
us
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fine_tuned_llama_lora_2
This model is a fine-tuned version of
meta-llama/Llama-2-13b-chat-hf
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: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use 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: 100
num_epochs: 6
mixed_precision_training: Native AMP
Framework versions
PEFT 0.13.2
Transformers 4.46.2
Pytorch 2.1.0+cu118
Tokenizers 0.20.3
