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Solidity_Model_Q – AI Model by Openledger | AlphaNeural AI | AlphaNeural AI
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Solidity_Model_Q
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peft
safetensors
llama-factory
lora
generated_from_trainer
Qwen/Qwen2.5-Coder-7B
adapter
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solidity_qwen_model
This model is a fine-tuned version of
Qwen/Qwen2.5-Coder-7B
on the solidity_contract 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
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 12
total_train_batch_size: 192
total_eval_batch_size: 16
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
num_epochs: 1.0
Training results
Framework versions
PEFT 0.12.0
Transformers 4.46.1
Pytorch 2.6.0+cu124
Datasets 3.1.0
Tokenizers 0.20.3
