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--- |
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license: bsd-3-clause |
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tags: |
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- generated_from_trainer |
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datasets: |
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- mbpp |
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model-index: |
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- name: codet5p-770m-py-sanitized-chrf-1-False-1e-05-0.1-lora |
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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-py-sanitized-chrf-1-False-1e-05-0.1-lora |
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This model is a fine-tuned version of [Salesforce/codet5p-770m-py](https://huggingface.co/Salesforce/codet5p-770m-py) on the mbpp dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8630 |
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- Score: 18.8495 |
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- Char Order: 6 |
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- Word Order: 0 |
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- Beta: 2 |
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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: 1e-05 |
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- train_batch_size: 6 |
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- eval_batch_size: 6 |
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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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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 50 |
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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 | Score | Char Order | Word Order | Beta | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:----------:|:----------:|:----:| |
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| 1.1537 | 1.0 | 20 | 1.1773 | 15.9967 | 6 | 0 | 2 | |
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| 1.1524 | 2.0 | 40 | 1.1736 | 16.1464 | 6 | 0 | 2 | |
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| 1.1553 | 3.0 | 60 | 1.1665 | 16.8836 | 6 | 0 | 2 | |
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| 1.1204 | 4.0 | 80 | 1.1551 | 16.9562 | 6 | 0 | 2 | |
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| 1.1368 | 5.0 | 100 | 1.1360 | 16.8337 | 6 | 0 | 2 | |
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| 1.0961 | 6.0 | 120 | 1.1074 | 16.8866 | 6 | 0 | 2 | |
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| 1.0747 | 7.0 | 140 | 1.0538 | 17.2168 | 6 | 0 | 2 | |
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| 1.0228 | 8.0 | 160 | 0.9966 | 17.8457 | 6 | 0 | 2 | |
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| 0.9791 | 9.0 | 180 | 0.9571 | 17.9549 | 6 | 0 | 2 | |
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| 0.9597 | 10.0 | 200 | 0.9356 | 18.8652 | 6 | 0 | 2 | |
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| 0.9466 | 11.0 | 220 | 0.9255 | 18.7134 | 6 | 0 | 2 | |
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| 0.9206 | 12.0 | 240 | 0.9180 | 18.5846 | 6 | 0 | 2 | |
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| 0.9194 | 13.0 | 260 | 0.9119 | 19.1993 | 6 | 0 | 2 | |
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| 0.8938 | 14.0 | 280 | 0.9065 | 19.2773 | 6 | 0 | 2 | |
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| 0.8856 | 15.0 | 300 | 0.9019 | 19.1140 | 6 | 0 | 2 | |
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| 0.9002 | 16.0 | 320 | 0.8981 | 19.0127 | 6 | 0 | 2 | |
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| 0.8733 | 17.0 | 340 | 0.8945 | 19.1110 | 6 | 0 | 2 | |
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| 0.8815 | 18.0 | 360 | 0.8914 | 18.9013 | 6 | 0 | 2 | |
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| 0.8788 | 19.0 | 380 | 0.8887 | 18.7065 | 6 | 0 | 2 | |
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| 0.8895 | 20.0 | 400 | 0.8862 | 18.8140 | 6 | 0 | 2 | |
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| 0.8727 | 21.0 | 420 | 0.8839 | 18.9816 | 6 | 0 | 2 | |
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| 0.8533 | 22.0 | 440 | 0.8819 | 18.8941 | 6 | 0 | 2 | |
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| 0.8542 | 23.0 | 460 | 0.8800 | 18.8941 | 6 | 0 | 2 | |
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| 0.8397 | 24.0 | 480 | 0.8786 | 18.9750 | 6 | 0 | 2 | |
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| 0.8337 | 25.0 | 500 | 0.8772 | 18.8138 | 6 | 0 | 2 | |
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| 0.8439 | 26.0 | 520 | 0.8759 | 18.8138 | 6 | 0 | 2 | |
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| 0.8403 | 27.0 | 540 | 0.8744 | 18.9115 | 6 | 0 | 2 | |
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| 0.8423 | 28.0 | 560 | 0.8732 | 18.8551 | 6 | 0 | 2 | |
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| 0.8303 | 29.0 | 580 | 0.8720 | 18.8551 | 6 | 0 | 2 | |
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| 0.8299 | 30.0 | 600 | 0.8711 | 18.8677 | 6 | 0 | 2 | |
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| 0.8235 | 31.0 | 620 | 0.8701 | 18.8649 | 6 | 0 | 2 | |
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| 0.8207 | 32.0 | 640 | 0.8694 | 18.8780 | 6 | 0 | 2 | |
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| 0.8244 | 33.0 | 660 | 0.8685 | 18.8499 | 6 | 0 | 2 | |
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| 0.8114 | 34.0 | 680 | 0.8678 | 18.8717 | 6 | 0 | 2 | |
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| 0.8249 | 35.0 | 700 | 0.8672 | 18.7947 | 6 | 0 | 2 | |
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| 0.8193 | 36.0 | 720 | 0.8666 | 18.8761 | 6 | 0 | 2 | |
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| 0.8146 | 37.0 | 740 | 0.8662 | 19.0580 | 6 | 0 | 2 | |
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| 0.807 | 38.0 | 760 | 0.8657 | 18.7895 | 6 | 0 | 2 | |
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| 0.8012 | 39.0 | 780 | 0.8651 | 18.7895 | 6 | 0 | 2 | |
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| 0.8065 | 40.0 | 800 | 0.8648 | 18.7348 | 6 | 0 | 2 | |
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| 0.8106 | 41.0 | 820 | 0.8644 | 18.8183 | 6 | 0 | 2 | |
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| 0.7992 | 42.0 | 840 | 0.8642 | 18.8183 | 6 | 0 | 2 | |
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| 0.8058 | 43.0 | 860 | 0.8639 | 18.8729 | 6 | 0 | 2 | |
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| 0.7893 | 44.0 | 880 | 0.8636 | 18.8729 | 6 | 0 | 2 | |
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| 0.8162 | 45.0 | 900 | 0.8634 | 18.9041 | 6 | 0 | 2 | |
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| 0.8106 | 46.0 | 920 | 0.8632 | 18.8495 | 6 | 0 | 2 | |
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| 0.7955 | 47.0 | 940 | 0.8632 | 18.8495 | 6 | 0 | 2 | |
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| 0.8172 | 48.0 | 960 | 0.8631 | 18.8495 | 6 | 0 | 2 | |
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| 0.8024 | 49.0 | 980 | 0.8630 | 18.8495 | 6 | 0 | 2 | |
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| 0.8086 | 50.0 | 1000 | 0.8630 | 18.8495 | 6 | 0 | 2 | |
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### Framework versions |
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- Transformers 4.30.0.dev0 |
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- Pytorch 2.0.1 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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