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dpo_crafting_lora – AI Model by izzcw | AlphaNeural AI
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izzcw
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dpo_crafting_lora
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peft
tensorboard
safetensors
llama-factory
lora
trl
dpo
generated_from_trainer
meta-llama/Meta-Llama-3-8B-Instruct
adapter
llama3
us
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dpo_crafting_lora
This model is a fine-tuned version of
meta-llama/Meta-Llama-3-8B-Instruct
on the crafting_dpo_data 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-06
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10.0
Training results
Framework versions
PEFT 0.12.0
Transformers 4.49.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
