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metadata
license: bsd-3-clause
base_model: Salesforce/codet5-large
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: codet5-large-finetuned-py2cpp
    results: []

codet5-large-finetuned-py2cpp

This model is a fine-tuned version of Salesforce/codet5-large on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5811
  • Bleu: 1.7782
  • Gen Len: 19.0

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: 0.0001
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
No log 0.98 41 1.4340 1.1636 18.6571
No log 1.99 83 0.8793 1.6009 19.0
No log 2.99 125 0.7255 1.6991 19.0
No log 4.0 167 0.6623 1.7248 19.0
No log 4.98 208 0.6263 1.6321 19.0
No log 5.99 250 0.6073 1.6506 19.0
No log 6.99 292 0.5934 1.7734 19.0
No log 8.0 334 0.5852 1.7891 19.0
No log 8.98 375 0.5824 1.7787 19.0
No log 9.82 410 0.5811 1.7782 19.0

Framework versions

  • Transformers 4.33.1
  • Pytorch 2.4.0
  • Datasets 3.0.1
  • Tokenizers 0.13.3