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
- Downloads last month
- 14