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# flan-t5-base-qg-SQuAD-10-v3

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: 0.5822
- Rouge1: 52.7338
- Rouge2: 30.0274
- Rougel: 48.6696
- Rougelsum: 48.6837
- Meteor: 47.9097
- Bleu-n: 21.1510
- Bleu-1: 52.8292
- Bleu-2: 26.9042
- Bleu-3: 17.0624
- Bleu-4: 11.3263
- Gen Len: 14.3502

## 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: 0.0001
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-------:|:-------:|:-------:|:-------:|:-------:|:-------:|
| 0.5958        | 1.0   | 10950 | 0.5637          | 52.0014 | 29.3355 | 48.0977 | 48.1142   | 46.8122 | 20.7193 | 52.9094 | 26.6582 | 17.0250 | 11.4145 | 14.1124 |
| 0.5168        | 2.0   | 21900 | 0.5618          | 52.616  | 29.9824 | 48.6695 | 48.6858   | 47.6756 | 21.2477 | 52.8608 | 26.9682 | 17.2504 | 11.5263 | 14.3338 |
| 0.4748        | 3.0   | 32850 | 0.5682          | 52.6758 | 30.0082 | 48.6759 | 48.6901   | 47.7055 | 21.1081 | 52.9757 | 26.9437 | 17.2084 | 11.4549 | 14.2867 |
| 0.4297        | 4.0   | 43800 | 0.5759          | 52.9434 | 30.2447 | 48.8937 | 48.9019   | 48.0327 | 21.2589 | 53.1581 | 27.1232 | 17.2418 | 11.4865 | 14.3004 |
| 0.4087        | 5.0   | 54750 | 0.5822          | 52.7338 | 30.0274 | 48.6696 | 48.6837   | 47.9097 | 21.1510 | 52.8292 | 26.9042 | 17.0624 | 11.3263 | 14.3502 |


### 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-v3", "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": 52.7338, "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-v3
===========================


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: 0.5822
* Rouge1: 52.7338
* Rouge2: 30.0274
* Rougel: 48.6696
* Rougelsum: 48.6837
* Meteor: 47.9097
* Bleu-n: 21.1510
* Bleu-1: 52.8292
* Bleu-2: 26.9042
* Bleu-3: 17.0624
* Bleu-4: 11.3263
* Gen Len: 14.3502


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: 0.0001
* 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: 0.0001
* 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: 0.0001
* 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