metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: codet5-small-Generate_Docstrings_for_Python-Condensed
results: []
codet5-small-Generate_Docstrings_for_Python-Condensed
This model is a fine-tuned version of Salesforce/codet5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1444
- Rouge1: 0.3828
- Rouge2: 0.2214
- Rougel: 0.3583
- Rougelsum: 0.3661
- Gen Len: 12.6656
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.9064 | 1.0 | 965 | 2.3096 | 0.3695 | 0.2098 | 0.3464 | 0.3529 | 11.7285 |
| 2.4836 | 2.0 | 1930 | 2.2051 | 0.38 | 0.2176 | 0.3554 | 0.3635 | 12.9401 |
| 2.3669 | 3.0 | 2895 | 2.1548 | 0.3842 | 0.2219 | 0.3595 | 0.3674 | 13.0029 |
| 2.3254 | 4.0 | 3860 | 2.1444 | 0.3828 | 0.2214 | 0.3583 | 0.3661 | 12.6656 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.12.1
- Datasets 2.9.0
- Tokenizers 0.12.1