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# Jammal7/t5-small-finetuned-Big-Patents

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on [big_patents](https://huggingface.co/datasets/big_patent) datasets.
It achieves the following results on the evaluation set:
- Train Loss: 2.1148
- Validation Loss: 2.0812
- Train Rouge1: 23.0058
- Train Rouge2: 12.5142
- Train Rougel: 19.9076
- Train Rougelsum: 20.8720
- Train Gen Len: 19.0
- Epoch: 14

## 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 | Train Gen Len | Epoch |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 2.6552     | 2.3220          | 21.3700      | 10.2105      | 17.5338      | 18.8802         | 18.9929       | 0     |
| 2.4395     | 2.2535          | 22.2253      | 11.2822      | 18.7238      | 19.9181         | 19.0          | 1     |
| 2.3755     | 2.2174          | 22.2327      | 11.5575      | 18.8348      | 19.9379         | 19.0          | 2     |
| 2.3329     | 2.1886          | 22.5328      | 11.8225      | 19.2582      | 20.3227         | 19.0          | 3     |
| 2.3004     | 2.1681          | 22.7872      | 12.1642      | 19.5194      | 20.5907         | 19.0          | 4     |
| 2.2696     | 2.1579          | 22.6969      | 12.0848      | 19.5012      | 20.5564         | 19.0          | 5     |
| 2.2487     | 2.1385          | 22.7300      | 12.2347      | 19.5685      | 20.5822         | 19.0          | 6     |
| 2.2249     | 2.1347          | 22.7250      | 12.2077      | 19.5103      | 20.5246         | 19.0          | 7     |
| 2.2060     | 2.1265          | 22.8921      | 12.4139      | 19.6903      | 20.7126         | 19.0          | 8     |
| 2.1892     | 2.1126          | 22.9440      | 12.4268      | 19.7717      | 20.8156         | 19.0          | 9     |
| 2.1740     | 2.1084          | 22.9201      | 12.4491      | 19.8107      | 20.8059         | 19.0          | 10    |
| 2.1580     | 2.0980          | 22.9947      | 12.3798      | 19.7494      | 20.7852         | 19.0          | 11    |
| 2.1414     | 2.0934          | 23.0885      | 12.5899      | 19.9531      | 20.9145         | 19.0          | 12    |
| 2.1302     | 2.0809          | 23.0854      | 12.5580      | 19.9468      | 20.8737         | 19.0          | 13    |
| 2.1148     | 2.0812          | 23.0058      | 12.5142      | 19.9076      | 20.8720         | 19.0          | 14    |


### Framework versions

- Transformers 4.30.1
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "model-index": [{"name": "Jammal7/t5-small-finetuned-Big-Patents", "results": []}]}
transformers tf tensorboard t5 text2text-generation generated_from_keras_callback license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #tf #tensorboard #t5 #text2text-generation #generated_from_keras_callback #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

Jammal7/t5-small-finetuned-Big-Patents
======================================


This model is a fine-tuned version of t5-small on big\_patents datasets.
It achieves the following results on the evaluation set:


* Train Loss: 2.1148
* Validation Loss: 2.0812
* Train Rouge1: 23.0058
* Train Rouge2: 12.5142
* Train Rougel: 19.9076
* Train Rougelsum: 20.8720
* Train Gen Len: 19.0
* Epoch: 14


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 4.30.1
* TensorFlow 2.12.0
* Datasets 2.12.0
* Tokenizers 0.13.3



### 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 4.30.1
* TensorFlow 2.12.0
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #tf #tensorboard #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 4.30.1
* TensorFlow 2.12.0
* Datasets 2.12.0
* Tokenizers 0.13.3