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# t5-newVersion_Jhon_Wick

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:
- Loss: 1.4886
- Rouge1: 48.6605
- Rouge2: 24.9693
- Rougel: 37.3383
- Rougelsum: 45.588
- Gen Len: 78.5668

## 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:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.9661        | 1.0   | 765  | 1.6090          | 45.3876 | 22.2762 | 34.7559 | 42.3201   | 76.2048 |
| 1.7525        | 2.0   | 1530 | 1.5620          | 46.6776 | 23.2287 | 35.6355 | 43.5005   | 79.2035 |
| 1.7231        | 3.0   | 2295 | 1.5360          | 47.5061 | 23.9061 | 36.2823 | 44.3393   | 78.8096 |
| 1.6819        | 4.0   | 3060 | 1.5188          | 47.9422 | 24.3479 | 36.7844 | 44.8047   | 78.6368 |
| 1.6704        | 5.0   | 3825 | 1.5086          | 48.2693 | 24.6015 | 36.9681 | 45.1561   | 78.3357 |
| 1.6481        | 6.0   | 4590 | 1.5003          | 48.4714 | 24.7449 | 37.1888 | 45.3465   | 77.8874 |
| 1.6505        | 7.0   | 5355 | 1.4954          | 48.4435 | 24.8279 | 37.2272 | 45.3858   | 77.9686 |
| 1.6331        | 8.0   | 6120 | 1.4914          | 48.5349 | 24.9022 | 37.2725 | 45.4888   | 78.1754 |
| 1.6274        | 9.0   | 6885 | 1.4892          | 48.6537 | 24.9567 | 37.3426 | 45.5884   | 78.1263 |
| 1.6215        | 10.0  | 7650 | 1.4886          | 48.6605 | 24.9693 | 37.3383 | 45.588    | 78.5668 |


### Framework versions

- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "t5-newVersion_Jhon_Wick", "results": []}]}
transformers pytorch tensorboard t5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

t5-newVersion\_Jhon\_Wick
=========================


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


* Loss: 1.4886
* Rouge1: 48.6605
* Rouge2: 24.9693
* Rougel: 37.3383
* Rougelsum: 45.588
* Gen Len: 78.5668


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:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.27.4
* Pytorch 1.13.1+cu116
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.27.4
* Pytorch 1.13.1+cu116
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.27.4
* Pytorch 1.13.1+cu116
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10
* mixed\_precision\_training: Native AMP### Training results### Framework versions


* Transformers 4.27.4
* Pytorch 1.13.1+cu116
* Tokenizers 0.13.2