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Llama2_Summarizer_LoRA_Adapters – AI Model by PiyushLavaniya | AlphaNeural AI
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Llama2_Summarizer_LoRA_Adapters
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tensorboard
safetensors
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meta-llama/Llama-2-7b-chat-hf
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llama_summarizer_adapter
This model is a fine-tuned version of
meta-llama/Llama-2-7b-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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
training_steps: 109
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
