| | --- |
| | license: apache-2.0 |
| | base_model: Salesforce/codet5-small |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: codet5-small-ft-v10 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # codet5-small-ft-v10 |
| |
|
| | This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6076 |
| | - Rouge1: 64.7797 |
| | - Rouge2: 49.8902 |
| | - Rougel: 62.433 |
| | - Rougelsum: 61.8109 |
| | - Gen Len: 12.9286 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| | ### FORMAT |
| | [BUG] reader = ReaderFactory.newXmlReader( null) ; [CONTEXT] outputFile = output.getFile(); } Reader reader; try { if (inputEncoding != null) { if (parser.getType() == Parser.XML_TYPE) { <extra_id_0> } else { reader = ReaderFactory.newReader(inputFile, inputEncoding); } } else { reader = ReaderFactory.newPlatformReader(inputFile); } |
| | |
| | ## 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
| | | No log | 1.0 | 19 | 1.9088 | 54.5113 | 41.9981 | 53.7739 | 53.7474 | 12.3286 | |
| | | No log | 2.0 | 38 | 1.1442 | 66.1136 | 56.2675 | 65.0547 | 64.8304 | 12.4857 | |
| | | No log | 3.0 | 57 | 0.6821 | 67.6198 | 52.8142 | 64.9905 | 64.3787 | 13.3429 | |
| | | No log | 4.0 | 76 | 0.6076 | 64.7797 | 49.8902 | 62.433 | 61.8109 | 12.9286 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.38.0.dev0 |
| | - Pytorch 2.1.0+cu121 |
| | - Datasets 2.16.1 |
| | - Tokenizers 0.15.1 |
| | |