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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: codet5-kormath |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# codet5-kormath |
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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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- Train Loss: 0.1215 |
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- Validation Loss: 0.5475 |
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- Epoch: 43 |
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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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- optimizer: {'name': 'Adam', 'learning_rate': 0.001, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
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- training_precision: mixed_bfloat16 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 6.8077 | 3.6916 | 0 | |
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| 3.3252 | 2.3874 | 1 | |
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| 2.2389 | 1.7377 | 2 | |
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| 1.6852 | 1.3997 | 3 | |
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| 1.3617 | 1.1785 | 4 | |
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| 1.1875 | 1.0796 | 5 | |
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| 1.0887 | 1.0150 | 6 | |
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| 1.0234 | 0.9669 | 7 | |
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| 0.9709 | 0.9350 | 8 | |
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| 0.9292 | 0.9016 | 9 | |
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| 0.8982 | 0.8763 | 10 | |
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| 0.8653 | 0.8565 | 11 | |
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| 0.8389 | 0.8378 | 12 | |
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| 0.8094 | 0.8241 | 13 | |
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| 0.7828 | 0.8078 | 14 | |
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| 0.7631 | 0.7945 | 15 | |
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| 0.7386 | 0.7856 | 16 | |
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| 0.7209 | 0.7749 | 17 | |
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| 0.7039 | 0.7703 | 18 | |
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| 0.6858 | 0.7708 | 19 | |
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| 0.6718 | 0.7705 | 20 | |
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| 0.6544 | 0.7710 | 21 | |
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| 0.6477 | 0.7728 | 22 | |
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| 0.6289 | 0.7590 | 23 | |
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| 0.6102 | 0.7616 | 24 | |
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| 0.5966 | 0.7644 | 25 | |
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| 0.5773 | 0.7559 | 26 | |
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| 0.5597 | 0.7609 | 27 | |
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| 0.5384 | 0.7823 | 28 | |
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| 0.5256 | 0.7263 | 29 | |
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| 0.4780 | 0.6671 | 30 | |
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| 0.4328 | 0.6591 | 31 | |
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| 0.3844 | 0.5918 | 32 | |
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| 0.3366 | 0.5852 | 33 | |
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| 0.3036 | 0.5633 | 34 | |
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| 0.2746 | 0.5566 | 35 | |
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| 0.2486 | 0.5644 | 36 | |
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| 0.2286 | 0.5293 | 37 | |
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| 0.2023 | 0.5256 | 38 | |
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| 0.1870 | 0.5276 | 39 | |
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| 0.1638 | 0.5272 | 40 | |
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| 0.1479 | 0.5642 | 41 | |
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| 0.1386 | 0.5482 | 42 | |
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| 0.1215 | 0.5475 | 43 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- TensorFlow 2.8.0 |
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- Datasets 2.2.1 |
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- Tokenizers 0.12.1 |
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