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BullingerLM-llama3.1-8B-pretrain-Zwa – AI Model by Boffl | AlphaNeural AI
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BullingerLM-llama3.1-8B-pretrain-Zwa
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peft
safetensors
llama-factory
lora
generated_from_trainer
unsloth/Meta-Llama-3.1-8B-bnb-4bit
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llama3.1_8B_pretrain_Zwa
This model is a fine-tuned version of
unsloth/Meta-Llama-3.1-8B-bnb-4bit
on the pretrain_Zwa 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 0.12.0
Transformers 4.45.2
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.20.1
