| | --- |
| | license: bsd-3-clause |
| | base_model: Salesforce/codegen-350M-mono |
| | tags: |
| | - Text Generation |
| | - Text2CodeGeneration |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | - bleu |
| | model-index: |
| | - name: codeGen-finetuned-cXg-nl-to-code |
| | 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. --> |
| |
|
| | # codeGen-finetuned-cXg-nl-to-code |
| |
|
| | This model is a fine-tuned version of [Salesforce/codegen-350M-mono](https://huggingface.co/Salesforce/codegen-350M-mono) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 3.5272 |
| | - Rouge1: 0.0884 |
| | - Rouge2: 0.0056 |
| | - Rougel: 0.0624 |
| | - Bleu: 1.2799 |
| | - Meteor: 0.1132 |
| | - Codebleu: 0.2059 |
| |
|
| | ## 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: 32 |
| | - eval_batch_size: 64 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 3 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
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|
| | ### Framework versions |
| |
|
| | - Transformers 4.42.4 |
| | - Pytorch 2.3.1+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
| |
|
