metadata
license: apache-2.0
base_model: Salesforce/codet5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: codet5-small-java-buggy-to-fixed-code
results: []
codet5-small-java-buggy-to-fixed-code
This model is a fine-tuned version of Salesforce/codet5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1496
- Rouge1: 28.945
- Rouge2: 25.498
- Rougel: 28.8801
- Rougelsum: 28.9201
- Gen Len: 18.9938
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
---|---|---|---|---|---|---|---|---|
0.26 | 1.0 | 3750 | 0.1799 | 28.745 | 25.2441 | 28.6738 | 28.7241 | 18.9872 |
0.212 | 2.0 | 7500 | 0.1589 | 28.8636 | 25.4151 | 28.7997 | 28.8427 | 18.9926 |
0.1975 | 3.0 | 11250 | 0.1510 | 28.9016 | 25.4349 | 28.8356 | 28.8809 | 18.989 |
0.1887 | 4.0 | 15000 | 0.1496 | 28.945 | 25.498 | 28.8801 | 28.9201 | 18.9938 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0