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Eagle-Supreme-72B-LoRA – AI Model by D0shi9 | AlphaNeural AI
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Eagle-Supreme-72B-LoRA
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peft
safetensors
trl
sft
generated_from_trainer
generator
Qwen/Qwen2.5-72B-Instruct
adapter
other
us
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Eagle-Supreme-72B-LoRA
This model is a fine-tuned version of
Qwen/Qwen2.5-72B-Instruct
on the generator 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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
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: 0.03
num_epochs: 2
Framework versions
PEFT 0.13.2
Transformers 4.45.2
Pytorch 2.4.1+cu124
Datasets 2.21.0
Tokenizers 0.20.3
