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--- |
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license: apache-2.0 |
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base_model: Salesforce/codet5-base |
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tags: |
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- code-generation |
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- generated_from_trainer |
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metrics: |
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- rouge |
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- bleu |
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model-index: |
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- name: codeT5-finetuned-cXg-nl-to-code |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# codeT5-finetuned-cXg-nl-to-code |
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This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8873 |
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- Rouge1: 0.1077 |
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- Rouge2: 0.0133 |
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- Rougel: 0.1043 |
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- Bleu: 3.0765 |
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- Meteor: 0.1706 |
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- Codebleu: 0.0498 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 64 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Bleu | Meteor | Codebleu | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|:------:|:--------:| |
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| No log | 1.0 | 4 | 2.1149 | 0.0415 | 0.0010 | 0.0417 | 0.0629 | 0.0236 | 0.0177 | |
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| No log | 2.0 | 8 | 1.5027 | 0.0719 | 0.0028 | 0.0709 | 0.0682 | 0.0383 | 0.0201 | |
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| No log | 3.0 | 12 | 1.0964 | 0.0913 | 0.0106 | 0.0916 | 0.3613 | 0.1050 | 0.0267 | |
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| No log | 4.0 | 16 | 0.9316 | 0.1012 | 0.012 | 0.0979 | 0.6845 | 0.1369 | 0.0317 | |
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| No log | 5.0 | 20 | 0.8873 | 0.1058 | 0.012 | 0.1007 | 0.7454 | 0.1497 | 0.0338 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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