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# flan-t5-base-qg-SQuAD-10

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5608
- Rouge1: 52.7379
- Rouge2: 30.2006
- Rougel: 48.7775
- Rougelsum: 48.7801
- Meteor: 47.8283
- Bleu-n: 21.4544
- Bleu-1: 53.0604
- Bleu-2: 27.1936
- Bleu-3: 17.5151
- Bleu-4: 11.7991
- Gen Len: 14.2843

## 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 | Meteor  | Bleu-n  | Bleu-1  | Bleu-2  | Bleu-3  | Bleu-4  | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-------:|:-------:|:-------:|:-------:|:-------:|:-------:|
| 0.6022        | 1.0   | 10950 | 0.5586          | 51.7436 | 28.9612 | 47.8006 | 47.8226   | 46.5085 | 20.4533 | 52.5556 | 26.3407 | 16.7820 | 11.1797 | 14.1169 |
| 0.5414        | 2.0   | 21900 | 0.5549          | 52.4226 | 29.7931 | 48.4799 | 48.4956   | 47.3728 | 21.0853 | 53.0004 | 26.9469 | 17.2415 | 11.5862 | 14.2268 |
| 0.5161        | 3.0   | 32850 | 0.5565          | 52.6896 | 30.0797 | 48.69   | 48.7029   | 47.6188 | 21.2473 | 53.3591 | 27.2354 | 17.5149 | 11.7720 | 14.1970 |
| 0.485         | 4.0   | 43800 | 0.5590          | 52.7436 | 30.1349 | 48.8039 | 48.8081   | 47.7780 | 21.4458 | 53.0793 | 27.2141 | 17.5082 | 11.8084 | 14.2746 |
| 0.4759        | 5.0   | 54750 | 0.5608          | 52.7379 | 30.2006 | 48.7775 | 48.7801   | 47.8283 | 21.4544 | 53.0604 | 27.1936 | 17.5151 | 11.7991 | 14.2843 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["squad"], "metrics": ["rouge"], "model-index": [{"name": "flan-t5-base-qg-SQuAD-10", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "squad", "type": "squad", "config": "plain_text", "split": "validation", "args": "plain_text"}, "metrics": [{"type": "rouge", "value": 52.7379, "name": "Rouge1"}]}]}]}
transformers pytorch t5 text2text-generation generated_from_trainer dataset:squad license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #dataset-squad #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

flan-t5-base-qg-SQuAD-10
========================


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


* Loss: 0.5608
* Rouge1: 52.7379
* Rouge2: 30.2006
* Rougel: 48.7775
* Rougelsum: 48.7801
* Meteor: 47.8283
* Bleu-n: 21.4544
* Bleu-1: 53.0604
* Bleu-2: 27.1936
* Bleu-3: 17.5151
* Bleu-4: 11.7991
* Gen Len: 14.2843


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 4.28.1
* Pytorch 2.0.0
* Datasets 2.1.0
* Tokenizers 0.13.3



### 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 4.28.1
* Pytorch 2.0.0
* Datasets 2.1.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #dataset-squad #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: 5 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0
* Datasets 2.1.0
* Tokenizers 0.13.3