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# 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

{"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "model-index": [{"name": "codet5-kormath", "results": []}]}
transformers tf t5 text2text-generation generated_from_keras_callback license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #tf #t5 #text2text-generation #generated_from_keras_callback #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

codet5-kormath
==============


This model is a fine-tuned version of 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



### Framework versions


* Transformers 4.19.2
* TensorFlow 2.8.0
* Datasets 2.2.1
* Tokenizers 0.12.1



### 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 ### Framework versions


* Transformers 4.19.2
* TensorFlow 2.8.0
* Datasets 2.2.1
* Tokenizers 0.12.1
TAGS
#transformers #tf #t5 #text2text-generation #generated_from_keras_callback #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### 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 ### Framework versions


* Transformers 4.19.2
* TensorFlow 2.8.0
* Datasets 2.2.1
* Tokenizers 0.12.1
passage: TAGS
#transformers #tf #t5 #text2text-generation #generated_from_keras_callback #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
### 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### Framework versions


* Transformers 4.19.2
* TensorFlow 2.8.0
* Datasets 2.2.1
* Tokenizers 0.12.1