
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# flan_t5_summarization

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6162
- Rouge1: 15.9418
- Rouge2: 7.4447
- Rougel: 15.5655
- Rougelsum: 15.5835
- Gen Len: 18.7313

## 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: 5e-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 272  | 0.6162          | 15.9418 | 7.4447 | 15.5655 | 15.5835   | 18.7313 |
| 0.7405        | 2.0   | 544  | 0.6162          | 15.9418 | 7.4447 | 15.5655 | 15.5835   | 18.7313 |
| 0.7405        | 3.0   | 816  | 0.6162          | 15.9418 | 7.4447 | 15.5655 | 15.5835   | 18.7313 |
| 0.7453        | 4.0   | 1088 | 0.6162          | 15.9418 | 7.4447 | 15.5655 | 15.5835   | 18.7313 |
| 0.7453        | 5.0   | 1360 | 0.6162          | 15.9418 | 7.4447 | 15.5655 | 15.5835   | 18.7313 |
| 0.7372        | 6.0   | 1632 | 0.6162          | 15.9418 | 7.4447 | 15.5655 | 15.5835   | 18.7313 |
| 0.7372        | 7.0   | 1904 | 0.6162          | 15.9418 | 7.4447 | 15.5655 | 15.5835   | 18.7313 |
| 0.7436        | 8.0   | 2176 | 0.6162          | 15.9418 | 7.4447 | 15.5655 | 15.5835   | 18.7313 |
| 0.7436        | 9.0   | 2448 | 0.6162          | 15.9418 | 7.4447 | 15.5655 | 15.5835   | 18.7313 |
| 0.7425        | 10.0  | 2720 | 0.6162          | 15.9418 | 7.4447 | 15.5655 | 15.5835   | 18.7313 |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "flan_t5_summarization", "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 

flan\_t5\_summarization
=======================


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


* Loss: 0.6162
* Rouge1: 15.9418
* Rouge2: 7.4447
* Rougel: 15.5655
* Rougelsum: 15.5835
* Gen Len: 18.7313


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: 5e-05
* train\_batch\_size: 12
* eval\_batch\_size: 12
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10


### Training results



### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 12
* eval\_batch\_size: 12
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* 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: 5e-05
* train\_batch\_size: 12
* eval\_batch\_size: 12
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* 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: 5e-05
* train\_batch\_size: 12
* eval\_batch\_size: 12
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10### Training results### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2