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codegen2-1B_py150_secu

This model is a fine-tuned version of Salesforce/codegen2-1B on the code_segments_py150k dataset. It achieves the following results on the evaluation set:

• Loss: 1.0928
• Accuracy: 0.7620

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: 2e-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: 1.0

Training results

Framework versions

• Transformers 4.32.1
• Pytorch 1.13.1+cu117
• Datasets 2.14.4
• Tokenizers 0.13.3