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adapter-summarizer-pre-merge – AI Model by samaigod | AlphaNeural AI

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samaigod/
adapter-summarizer-pre-merge

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unsloth/llama-2-7b

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adapter-summarizer-pre-merge

This model is a fine-tuned version of unsloth/llama-2-7b 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: 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: linear
lr_scheduler_warmup_ratio: 0.01
lr_scheduler_warmup_steps: 10
training_steps: 500
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.10.0
Transformers 4.40.2
Pytorch 2.1.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1