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# flan-t5-base-qg-SQuAD-10-v2

This model is a fine-tuned version of [sidovic/flan-t5-base-qg-SQuAD-10-v1](https://huggingface.co/sidovic/flan-t5-base-qg-SQuAD-10-v1) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5635
- Rouge1: 52.7009
- Rouge2: 29.9946
- Rougel: 48.7201
- Rougelsum: 48.742
- Meteor: 47.7317
- Bleu-n: 21.2828
- Bleu-1: 52.9594
- Bleu-2: 26.9966
- Bleu-3: 17.2878
- Bleu-4: 11.6186
- Gen Len: 14.2839

## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-------:|:-------:|:-------:|:-------:|:-------:|:-------:|
| 0.4895        | 1.0   | 2737  | 0.5663          | 52.7114 | 30.0127 | 48.7037 | 48.7107   | 47.6616 | 21.2211 | 53.1390 | 27.0972 | 17.3604 | 11.6424 | 14.2666 |
| 0.4729        | 2.0   | 5475  | 0.5682          | 52.9216 | 30.0708 | 48.8526 | 48.878    | 47.8314 | 21.3161 | 53.2131 | 27.1690 | 17.3900 | 11.6710 | 14.2888 |
| 0.4683        | 3.0   | 8212  | 0.5692          | 52.7708 | 29.9539 | 48.737  | 48.7502   | 47.7233 | 21.2898 | 53.1600 | 27.1172 | 17.4031 | 11.6509 | 14.2627 |
| 0.4678        | 4.0   | 10950 | 0.5664          | 52.6176 | 29.8744 | 48.6503 | 48.6646   | 47.6344 | 21.2149 | 53.0211 | 26.9944 | 17.2824 | 11.6094 | 14.2477 |
| 0.4777        | 5.0   | 13685 | 0.5635          | 52.7009 | 29.9946 | 48.7201 | 48.742    | 47.7317 | 21.2828 | 52.9594 | 26.9966 | 17.2878 | 11.6186 | 14.2839 |


### 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-v2", "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": 52.7009, "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-v2
===========================


This model is a fine-tuned version of sidovic/flan-t5-base-qg-SQuAD-10-v1 on the squad dataset.
It achieves the following results on the evaluation set:


* Loss: 0.5635
* Rouge1: 52.7009
* Rouge2: 29.9946
* Rougel: 48.7201
* Rougelsum: 48.742
* Meteor: 47.7317
* Bleu-n: 21.2828
* Bleu-1: 52.9594
* Bleu-2: 26.9966
* Bleu-3: 17.2878
* Bleu-4: 11.6186
* Gen Len: 14.2839


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
* gradient\_accumulation\_steps: 4
* total\_train\_batch\_size: 32
* 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
* gradient\_accumulation\_steps: 4
* total\_train\_batch\_size: 32
* 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
* gradient\_accumulation\_steps: 4
* total\_train\_batch\_size: 32
* 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