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# t5_small_A-finetuned-xsum

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: 1.3096
- Rouge1: 0.1758
- Rouge2: 0.0431
- Rougel: 0.1616
- Rougelsum: 0.1616
- Gen Len: 8.2832

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.8609        | 1.0   | 527  | 1.6450          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| 1.6144        | 2.0   | 1054 | 1.4493          | 0.0233 | 0.0006 | 0.0213 | 0.0214    | 1.7788  |
| 1.5156        | 3.0   | 1581 | 1.3990          | 0.1232 | 0.025  | 0.1137 | 0.1133    | 8.2124  |
| 1.3827        | 4.0   | 2108 | 1.3733          | 0.1276 | 0.0225 | 0.1211 | 0.121     | 8.8938  |
| 1.3815        | 5.0   | 2635 | 1.3547          | 0.1383 | 0.0366 | 0.1289 | 0.1298    | 8.3982  |
| 1.3366        | 6.0   | 3162 | 1.3406          | 0.1498 | 0.0347 | 0.1399 | 0.1407    | 8.6903  |
| 1.2798        | 7.0   | 3689 | 1.3313          | 0.1678 | 0.0373 | 0.1581 | 0.1564    | 8.6195  |
| 1.2619        | 8.0   | 4216 | 1.3205          | 0.1678 | 0.0398 | 0.1592 | 0.1581    | 9.2212  |
| 1.3182        | 9.0   | 4743 | 1.3170          | 0.1689 | 0.0369 | 0.1573 | 0.157     | 8.1593  |
| 1.2617        | 10.0  | 5270 | 1.3128          | 0.169  | 0.038  | 0.1555 | 0.1554    | 8.2832  |
| 1.2902        | 11.0  | 5797 | 1.3105          | 0.1647 | 0.0333 | 0.1518 | 0.1515    | 8.3363  |
| 1.1897        | 12.0  | 6324 | 1.3096          | 0.1758 | 0.0431 | 0.1616 | 0.1616    | 8.2832  |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "t5_small_A-finetuned-xsum", "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\_small\_A-finetuned-xsum
===========================


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


* Loss: 1.3096
* Rouge1: 0.1758
* Rouge2: 0.0431
* Rougel: 0.1616
* Rougelsum: 0.1616
* Gen Len: 8.2832


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: 1
* eval\_batch\_size: 1
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 12


### Training results



### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 1
* eval\_batch\_size: 1
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 12 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* 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: 1
* eval\_batch\_size: 1
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 12 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* 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: 1
* eval\_batch\_size: 1
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 12### Training results### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* Tokenizers 0.13.2