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# flan-t5-small-samsum

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6191
- Rouge1: 44.1381
- Rouge2: 20.1928
- Rougel: 36.5369
- Rougelsum: 40.4069
- Gen Len: 16.9377

## 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: 20.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.8119        | 1.0   | 1842  | 1.6673          | 42.607  | 19.0937 | 35.7568 | 39.0753   | 16.6642 |
| 1.7451        | 2.0   | 3684  | 1.6427          | 43.8834 | 19.669  | 36.4633 | 39.9905   | 17.1258 |
| 1.6756        | 3.0   | 5526  | 1.6333          | 43.3665 | 19.5917 | 36.2074 | 39.6598   | 16.6313 |
| 1.6411        | 4.0   | 7368  | 1.6258          | 44.0229 | 19.7965 | 36.3871 | 40.1807   | 16.9158 |
| 1.5939        | 5.0   | 9210  | 1.6265          | 44.3267 | 19.91   | 36.6279 | 40.5258   | 17.2015 |
| 1.5619        | 6.0   | 11052 | 1.6197          | 43.834  | 19.5188 | 36.2175 | 40.0349   | 17.0    |
| 1.5328        | 7.0   | 12894 | 1.6211          | 44.2587 | 20.0519 | 36.5957 | 40.3573   | 17.0061 |
| 1.528         | 8.0   | 14736 | 1.6191          | 44.1381 | 20.1928 | 36.5369 | 40.4069   | 16.9377 |
| 1.5           | 9.0   | 16578 | 1.6264          | 44.2013 | 20.0435 | 36.6233 | 40.5776   | 16.9866 |
| 1.473         | 10.0  | 18420 | 1.6212          | 44.4443 | 20.2859 | 36.7695 | 40.643    | 16.9512 |
| 1.4765        | 11.0  | 20262 | 1.6227          | 44.5579 | 20.3044 | 37.0447 | 40.8628   | 16.9328 |
| 1.4361        | 12.0  | 22104 | 1.6300          | 44.3329 | 20.543  | 36.7583 | 40.6138   | 16.7131 |
| 1.4296        | 13.0  | 23946 | 1.6285          | 44.7236 | 20.5361 | 37.1228 | 41.0207   | 17.1746 |
| 1.4119        | 14.0  | 25788 | 1.6314          | 44.5903 | 20.7486 | 37.1988 | 40.9799   | 16.8657 |
| 1.4075        | 15.0  | 27630 | 1.6323          | 44.8141 | 20.849  | 37.5116 | 41.2015   | 16.9634 |
| 1.4054        | 16.0  | 29472 | 1.6314          | 44.9286 | 20.8482 | 37.5008 | 41.1902   | 16.9072 |
| 1.3984        | 17.0  | 31314 | 1.6337          | 44.8266 | 20.8771 | 37.2837 | 41.2143   | 17.0    |
| 1.3862        | 18.0  | 33156 | 1.6344          | 44.9681 | 20.7656 | 37.4363 | 41.2447   | 16.9707 |
| 1.3679        | 19.0  | 34998 | 1.6346          | 44.8412 | 20.6233 | 37.2335 | 41.1223   | 16.9512 |
| 1.3702        | 20.0  | 36840 | 1.6346          | 44.5877 | 20.5694 | 37.093  | 40.9197   | 16.9414 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.11.0
- Datasets 2.10.1
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["samsum"], "metrics": ["rouge"], "model-index": [{"name": "flan-t5-small-samsum", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "samsum", "type": "samsum", "config": "samsum", "split": "test", "args": "samsum"}, "metrics": [{"type": "rouge", "value": 44.1381, "name": "Rouge1"}]}]}]}
transformers pytorch tensorboard t5 text2text-generation generated_from_trainer dataset:samsum license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #dataset-samsum #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

flan-t5-small-samsum
====================


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


* Loss: 1.6191
* Rouge1: 44.1381
* Rouge2: 20.1928
* Rougel: 36.5369
* Rougelsum: 40.4069
* Gen Len: 16.9377


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: 20.0


### Training results



### Framework versions


* Transformers 4.26.1
* Pytorch 1.11.0
* Datasets 2.10.1
* 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: 20.0 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.11.0
* Datasets 2.10.1
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #dataset-samsum #license-apache-2.0 #model-index #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: 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: 20.0 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.11.0
* Datasets 2.10.1
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #dataset-samsum #license-apache-2.0 #model-index #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: 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: 20.0### Training results### Framework versions


* Transformers 4.26.1
* Pytorch 1.11.0
* Datasets 2.10.1
* Tokenizers 0.13.2