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sft_P3_lora-sft-2 – AI Model by MaxwellJryao | AlphaNeural AI
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MaxwellJryao
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sft_P3_lora-sft-2
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peft
safetensors
trl
sft
generated_from_trainer
Qwen/Qwen2-0.5B
adapter
apache-2.0
us
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sft_P3_lora-sft-2
This model is a fine-tuned version of
Qwen/Qwen2-0.5B
on the None 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: 1.41e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 16
total_train_batch_size: 32
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2.0
Training results
Framework versions
PEFT 0.12.0
Transformers 4.43.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
