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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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- generated_from_trainer |
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model-index: |
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- name: codet5Base-Doc-step-1 |
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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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# codet5Base-Doc-step-1 |
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This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0759 |
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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: 1 |
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- eval_batch_size: 1 |
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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: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 230 | 1.5475 | |
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| No log | 2.0 | 460 | 1.2669 | |
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| 2.0737 | 3.0 | 690 | 1.1299 | |
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| 2.0737 | 4.0 | 920 | 1.0710 | |
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| 1.0726 | 5.0 | 1150 | 1.0345 | |
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| 1.0726 | 6.0 | 1380 | 1.0217 | |
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| 0.7523 | 7.0 | 1610 | 1.0132 | |
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| 0.7523 | 8.0 | 1840 | 1.0215 | |
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| 0.544 | 9.0 | 2070 | 0.9870 | |
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| 0.544 | 10.0 | 2300 | 0.9926 | |
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| 0.4227 | 11.0 | 2530 | 1.0094 | |
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| 0.4227 | 12.0 | 2760 | 1.0106 | |
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| 0.4227 | 13.0 | 2990 | 1.0087 | |
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| 0.3384 | 14.0 | 3220 | 1.0196 | |
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| 0.3384 | 15.0 | 3450 | 1.0264 | |
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| 0.2754 | 16.0 | 3680 | 1.0283 | |
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| 0.2754 | 17.0 | 3910 | 1.0341 | |
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| 0.2371 | 18.0 | 4140 | 1.0493 | |
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| 0.2371 | 19.0 | 4370 | 1.0506 | |
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| 0.207 | 20.0 | 4600 | 1.0526 | |
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| 0.207 | 21.0 | 4830 | 1.0518 | |
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| 0.1761 | 22.0 | 5060 | 1.0600 | |
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| 0.1761 | 23.0 | 5290 | 1.0644 | |
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| 0.1735 | 24.0 | 5520 | 1.0668 | |
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| 0.1735 | 25.0 | 5750 | 1.0635 | |
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| 0.1735 | 26.0 | 5980 | 1.0726 | |
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| 0.1487 | 27.0 | 6210 | 1.0711 | |
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| 0.1487 | 28.0 | 6440 | 1.0760 | |
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| 0.1451 | 29.0 | 6670 | 1.0757 | |
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| 0.1451 | 30.0 | 6900 | 1.0759 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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