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--- |
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license: bsd-3-clause |
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base_model: Salesforce/codet5-large |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: codet5-large-finetuned-py2cpp |
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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-large-finetuned-py2cpp |
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This model is a fine-tuned version of [Salesforce/codet5-large](https://huggingface.co/Salesforce/codet5-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5811 |
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- Bleu: 1.7782 |
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- Gen Len: 19.0 |
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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: 0.0001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| |
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| No log | 0.98 | 41 | 1.4340 | 1.1636 | 18.6571 | |
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| No log | 1.99 | 83 | 0.8793 | 1.6009 | 19.0 | |
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| No log | 2.99 | 125 | 0.7255 | 1.6991 | 19.0 | |
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| No log | 4.0 | 167 | 0.6623 | 1.7248 | 19.0 | |
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| No log | 4.98 | 208 | 0.6263 | 1.6321 | 19.0 | |
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| No log | 5.99 | 250 | 0.6073 | 1.6506 | 19.0 | |
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| No log | 6.99 | 292 | 0.5934 | 1.7734 | 19.0 | |
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| No log | 8.0 | 334 | 0.5852 | 1.7891 | 19.0 | |
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| No log | 8.98 | 375 | 0.5824 | 1.7787 | 19.0 | |
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| No log | 9.82 | 410 | 0.5811 | 1.7782 | 19.0 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.13.3 |
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