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results – AI Model by olzlt | AlphaNeural AI
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beomi/llama-2-ko-7b
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This model is a fine-tuned version of
beomi/llama-2-ko-7b
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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 3
total_train_batch_size: 6
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 40
Training results
Framework versions
PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.15.2
