py38-pylingual-v1.1.1-statement
This model is a fine-tuned version of Salesforce/codet5-base on the syssec-utd/statement-py38-pylingual-v1.1.1-tokenized 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: 2e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- total_train_batch_size: 72
- total_eval_batch_size: 72
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.54.1
- Pytorch 2.8.0+cu128
- Datasets 3.3.2
- Tokenizers 0.21.4
- Downloads last month
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Model tree for syssec-utd/py38-pylingual-v1.1.1-statement
Base model
Salesforce/codet5-base