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llama-2-13b-echelon-faq-GPTQ – AI Model by pavelmarcolian | AlphaNeural AI
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llama-2-13b-echelon-faq-GPTQ
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llama-2-13b-echelon-faq-GPTQ
This model is a fine-tuned version of
TheBloke/Llama-2-13b-Chat-GPTQ
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: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.10.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
