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# test-model

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.0322
- Validation Loss: 0.9818
- Train Rouge1: 63.3560
- Train Rouge2: 39.8622
- Train Rougel: 62.5870
- Train Rougelsum: 62.5573
- Epoch: 9

## 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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Epoch |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-----:|
| 1.2033     | 1.1011          | 63.0488      | 39.8152      | 62.3015      | 62.2699         | 0     |
| 1.1660     | 1.0732          | 63.6556      | 40.2704      | 62.8821      | 62.8498         | 1     |
| 1.1394     | 1.0532          | 63.8815      | 40.5348      | 63.1276      | 63.0965         | 2     |
| 1.1149     | 1.0386          | 64.2783      | 40.8596      | 63.5115      | 63.4840         | 3     |
| 1.0969     | 1.0245          | 63.6975      | 40.1645      | 62.9323      | 62.8990         | 4     |
| 1.0831     | 1.0122          | 63.7146      | 40.3383      | 62.9457      | 62.9173         | 5     |
| 1.0678     | 1.0044          | 63.3129      | 39.9492      | 62.5462      | 62.5154         | 6     |
| 1.0551     | 0.9949          | 62.5523      | 39.2999      | 61.7963      | 61.7831         | 7     |
| 1.0417     | 0.9869          | 63.3126      | 40.0112      | 62.5606      | 62.5360         | 8     |
| 1.0322     | 0.9818          | 63.3560      | 39.8622      | 62.5870      | 62.5573         | 9     |


### Framework versions

- Transformers 4.25.1
- TensorFlow 2.9.2
- Datasets 2.8.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "model-index": [{"name": "test-model", "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 

test-model
==========


This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:


* Train Loss: 1.0322
* Validation Loss: 0.9818
* Train Rouge1: 63.3560
* Train Rouge2: 39.8622
* Train Rougel: 62.5870
* Train Rougelsum: 62.5573
* Epoch: 9


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': 'AdamWeightDecay', 'learning\_rate': 2e-05, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\_decay\_rate': 0.01}
* training\_precision: float32


### Training results



### Framework versions


* Transformers 4.25.1
* TensorFlow 2.9.2
* Datasets 2.8.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'AdamWeightDecay', 'learning\_rate': 2e-05, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\_decay\_rate': 0.01}
* training\_precision: float32 ### Training results ### Framework versions


* Transformers 4.25.1
* TensorFlow 2.9.2
* Datasets 2.8.0
* Tokenizers 0.13.2
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': 'AdamWeightDecay', 'learning\_rate': 2e-05, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\_decay\_rate': 0.01}
* training\_precision: float32 ### Training results ### Framework versions


* Transformers 4.25.1
* TensorFlow 2.9.2
* Datasets 2.8.0
* Tokenizers 0.13.2
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': 'AdamWeightDecay', 'learning\_rate': 2e-05, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\_decay\_rate': 0.01}
* training\_precision: float32### Training results### Framework versions


* Transformers 4.25.1
* TensorFlow 2.9.2
* Datasets 2.8.0
* Tokenizers 0.13.2