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BullingerLM-llama3.1-8B-instruct-qa – AI Model by Boffl | AlphaNeural AI

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Boffl/
BullingerLM-llama3.1-8B-instruct-qa

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unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit

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llama3.1_lora_instruct_qa_train

This model is a fine-tuned version of unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit on the instruct_qa_train 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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.13.2
Transformers 4.44.2
Pytorch 2.3.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1