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# t5_small_SA

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: 0.6247
- Rouge1: 0.18
- Rouge2: 0.0618
- Rougel: 0.1699
- Rougelsum: 0.1685
- Gen Len: 9.9558

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.646         | 1.0   | 527  | 0.6675          | 0.1451 | 0.0366 | 0.1367 | 0.138     | 9.0619  |
| 0.6271        | 2.0   | 1054 | 0.6543          | 0.1579 | 0.0431 | 0.1482 | 0.1499    | 10.2832 |
| 0.6412        | 3.0   | 1581 | 0.6484          | 0.1501 | 0.039  | 0.1454 | 0.147     | 9.3805  |
| 0.6172        | 4.0   | 2108 | 0.6400          | 0.1607 | 0.0507 | 0.1543 | 0.1554    | 10.3363 |
| 0.6314        | 5.0   | 2635 | 0.6366          | 0.181  | 0.0599 | 0.1737 | 0.1739    | 9.6549  |
| 0.6152        | 6.0   | 3162 | 0.6344          | 0.1739 | 0.0637 | 0.1676 | 0.1666    | 9.0265  |
| 0.5835        | 7.0   | 3689 | 0.6324          | 0.1753 | 0.0596 | 0.1685 | 0.1673    | 9.2478  |
| 0.5852        | 8.0   | 4216 | 0.6277          | 0.1839 | 0.0614 | 0.1768 | 0.1755    | 10.0265 |
| 0.6129        | 9.0   | 4743 | 0.6260          | 0.1801 | 0.0617 | 0.171  | 0.1704    | 9.9115  |
| 0.5848        | 10.0  | 5270 | 0.6256          | 0.1743 | 0.0557 | 0.1624 | 0.1611    | 10.1593 |
| 0.5993        | 11.0  | 5797 | 0.6247          | 0.1748 | 0.06   | 0.167  | 0.1646    | 10.1504 |
| 0.5479        | 12.0  | 6324 | 0.6247          | 0.18   | 0.0618 | 0.1699 | 0.1685    | 9.9558  |


### 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_SA", "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\_SA
=============


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


* Loss: 0.6247
* Rouge1: 0.18
* Rouge2: 0.0618
* Rougel: 0.1699
* Rougelsum: 0.1685
* Gen Len: 9.9558


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