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# flan-t5-base-qg-SQuAD-7

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: 0.5534
- Rouge1: 52.8042
- Rouge2: 30.2086
- Rougel: 48.8966
- Rougelsum: 48.8899
- Meteor: 47.7541
- Bleu-n: 21.4547
- Bleu-1: 53.3739
- Bleu-2: 27.3640
- Bleu-3: 17.6317
- Bleu-4: 11.9291
- Gen Len: 14.2063

## 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=1.429285714e-05
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-------:|:-------:|:-------:|:-------:|:-------:|:-------:|
| 0.6097        | 1.0   | 10950 | 0.5592          | 51.5804 | 28.9366 | 47.7213 | 47.7126   | 46.3686 | 20.4248 | 52.6402 | 26.3750 | 16.8275 | 11.2237 | 14.1062 |
| 0.5614        | 2.0   | 21900 | 0.5536          | 52.3754 | 29.737  | 48.5616 | 48.5539   | 47.2116 | 21.0897 | 53.3324 | 27.1563 | 17.4888 | 11.8018 | 14.1156 |
| 0.547         | 3.0   | 32850 | 0.5530          | 52.621  | 29.9041 | 48.6859 | 48.6805   | 47.4338 | 21.1320 | 53.5817 | 27.3193 | 17.5544 | 11.8181 | 14.1035 |
| 0.5206        | 4.0   | 43800 | 0.5527          | 52.7177 | 30.0935 | 48.8308 | 48.816    | 47.6891 | 21.3821 | 53.4360 | 27.3730 | 17.6143 | 11.8951 | 14.1669 |
| 0.517         | 5.0   | 54750 | 0.5534          | 52.8042 | 30.2086 | 48.8966 | 48.8899   | 47.7541 | 21.4547 | 53.3739 | 27.3640 | 17.6317 | 11.9291 | 14.2063 |


### 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-7", "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": 52.8042, "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-7
=======================


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: 0.5534
* Rouge1: 52.8042
* Rouge2: 30.2086
* Rougel: 48.8966
* Rougelsum: 48.8899
* Meteor: 47.7541
* Bleu-n: 21.4547
* Bleu-1: 53.3739
* Bleu-2: 27.3640
* Bleu-3: 17.6317
* Bleu-4: 11.9291
* Gen Len: 14.2063


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=1.429285714e-05
* 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=1.429285714e-05
* 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=1.429285714e-05
* 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