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