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train_llama2 – AI Model by totorolee27 | AlphaNeural AI
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train_llama2
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peft
safetensors
llama-factory
lora
generated_from_trainer
meta-llama/Llama-2-7b-chat-hf
adapter
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train_llama2
This model is a fine-tuned version of
meta-llama/Llama-2-7b-chat-hf
on the outputdata 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.10.0
Transformers 4.39.1
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2
