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--- |
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license: bsd-3-clause |
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base_model: Salesforce/codet5p-770m |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: codeT5p-770m-fine-tuned |
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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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# codeT5p-770m-fine-tuned |
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This model is a fine-tuned version of [Salesforce/codet5p-770m](https://huggingface.co/Salesforce/codet5p-770m) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.6860 |
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- Bleu Score: 19.4855 |
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- Exact Match Precision: 31.5 |
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- Gen Len: 12.805 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 1 |
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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 | Bleu Score | Exact Match Precision | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:----------:|:---------------------:|:-------:| |
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| 4.8023 | 1.0 | 125 | 4.6860 | 19.4855 | 31.5 | 12.805 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.14.5 |
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- Tokenizers 0.15.1 |
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