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# flan-t5-gov-report-sum

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the govreport-summarization dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2385
- Rouge1: 5.8729
- Rouge2: 3.0763
- Rougel: 5.1016
- Rougelsum: 5.646
- Gen Len: 19.0

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.5801        | 1.0   | 2190  | 2.3211          | 5.6226 | 2.9142 | 4.9535 | 5.417     | 19.0    |
| 2.5125        | 2.0   | 4380  | 2.2748          | 5.7982 | 3.0365 | 5.0726 | 5.5837    | 19.0    |
| 2.453         | 3.0   | 6570  | 2.2545          | 5.8744 | 3.0997 | 5.1196 | 5.6524    | 19.0    |
| 2.436         | 4.0   | 8760  | 2.2430          | 5.8669 | 3.0525 | 5.0849 | 5.631     | 19.0    |
| 2.4144        | 5.0   | 10950 | 2.2385          | 5.8729 | 3.0763 | 5.1016 | 5.646     | 19.0    |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.11.0+cu102
- Datasets 2.9.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["govreport-summarization"], "metrics": ["rouge"], "model-index": [{"name": "flan-t5-gov-report-sum", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "govreport-summarization", "type": "govreport-summarization", "config": "document", "split": "test", "args": "document"}, "metrics": [{"type": "rouge", "value": 5.8729, "name": "Rouge1"}]}]}]}
transformers pytorch tensorboard t5 text2text-generation generated_from_trainer dataset:govreport-summarization license:apache-2.0 model-index autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #dataset-govreport-summarization #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 

flan-t5-gov-report-sum
======================


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


* Loss: 2.2385
* Rouge1: 5.8729
* Rouge2: 3.0763
* Rougel: 5.1016
* Rougelsum: 5.646
* Gen Len: 19.0


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: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5


### Training results



### Framework versions


* Transformers 4.26.1
* Pytorch 1.11.0+cu102
* Datasets 2.9.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.11.0+cu102
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #dataset-govreport-summarization #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.11.0+cu102
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #dataset-govreport-summarization #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5### Training results### Framework versions


* Transformers 4.26.1
* Pytorch 1.11.0+cu102
* Datasets 2.9.0
* Tokenizers 0.13.2