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ADL_Llama – AI Model by b09501048 | AlphaNeural AI
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b09501048
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ADL_Llama
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peft
safetensors
trl
sft
generated_from_trainer
yentinglin/Llama-3-Taiwan-8B-Instruct
adapter
llama3
us
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ADL_Llama
This model is a fine-tuned version of
yentinglin/Llama-3-Taiwan-8B-Instruct
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: 0.0001
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 50
training_steps: 3000
Framework versions
PEFT 0.13.2
Transformers 4.46.1
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.1
