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# madatnlp/ket5-config-scratch

This model is a fine-tuned version of [madatnlp/ket5-config-scratch](https://huggingface.co/madatnlp/ket5-config-scratch) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.3667
- Validation Loss: 1.4931
- Epoch: 18

## 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': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 1.4117     | 1.5494          | 0     |
| 1.4012     | 1.5838          | 1     |
| 1.4056     | 1.5710          | 2     |
| 1.4133     | 1.5190          | 3     |
| 1.3887     | 1.4858          | 4     |
| 1.3951     | 1.4920          | 5     |
| 1.3889     | 1.5038          | 6     |
| 1.3804     | 1.5079          | 7     |
| 1.3991     | 1.4368          | 8     |
| 1.3852     | 1.4974          | 9     |
| 1.3971     | 1.5164          | 10    |
| 1.3853     | 1.5632          | 11    |
| 1.3719     | 1.5163          | 12    |
| 1.3805     | 1.4271          | 13    |
| 1.3818     | 1.5078          | 14    |
| 1.3741     | 1.4687          | 15    |
| 1.3796     | 1.4623          | 16    |
| 1.3701     | 1.5326          | 17    |
| 1.3667     | 1.4931          | 18    |


### Framework versions

- Transformers 4.18.0
- TensorFlow 2.8.0
- Datasets 2.1.0
- Tokenizers 0.12.1

{"tags": ["generated_from_keras_callback"], "model-index": [{"name": "madatnlp/ket5-config-scratch", "results": []}]}
transformers tf t5 text2text-generation generated_from_keras_callback autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #tf #t5 #text2text-generation #generated_from_keras_callback #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

madatnlp/ket5-config-scratch
============================


This model is a fine-tuned version of madatnlp/ket5-config-scratch on an unknown dataset.
It achieves the following results on the evaluation set:


* Train Loss: 1.3667
* Validation Loss: 1.4931
* Epoch: 18


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': 1e-05, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
* training\_precision: float32


### Training results



### Framework versions


* Transformers 4.18.0
* TensorFlow 2.8.0
* Datasets 2.1.0
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'Adam', 'learning\_rate': 1e-05, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
* training\_precision: float32 ### Training results ### Framework versions


* Transformers 4.18.0
* TensorFlow 2.8.0
* Datasets 2.1.0
* Tokenizers 0.12.1
TAGS
#transformers #tf #t5 #text2text-generation #generated_from_keras_callback #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'Adam', 'learning\_rate': 1e-05, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
* training\_precision: float32 ### Training results ### Framework versions


* Transformers 4.18.0
* TensorFlow 2.8.0
* Datasets 2.1.0
* Tokenizers 0.12.1
passage: TAGS
#transformers #tf #t5 #text2text-generation #generated_from_keras_callback #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'Adam', 'learning\_rate': 1e-05, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
* training\_precision: float32### Training results### Framework versions


* Transformers 4.18.0
* TensorFlow 2.8.0
* Datasets 2.1.0
* Tokenizers 0.12.1