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Llama-2-7b-hf-platypus_v5 – AI Model by NassimB | AlphaNeural AI
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Llama-2-7b-hf-platypus_v5
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peft
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meta-llama/Llama-2-7b-hf
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Llama-2-7b-hf-platypus_v5
This model is a fine-tuned version of
meta-llama/Llama-2-7b-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: 0.0003
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
lr_scheduler_warmup_steps: 100
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.8.2
Transformers 4.37.1
Pytorch 2.2.0+cu121
Datasets 2.14.6
Tokenizers 0.15.1
