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# flan-t5-base-SQuAD-qg-ep10

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3457
- Rouge1: 40.1205
- Rouge2: 18.6383
- Rougel: 36.6147
- Rougelsum: 36.6007
- Gen Len: 13.6362

## 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: 2e-05
- train_batch_size: 72
- eval_batch_size: 144
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.6188        | 0.76  | 200  | 1.3784          | 38.118  | 16.6537 | 34.5034 | 34.5096   | 14.0914 |
| 1.5475        | 1.52  | 400  | 1.3669          | 38.4347 | 16.9434 | 34.832  | 34.8234   | 14.0755 |
| 1.531         | 2.28  | 600  | 1.3597          | 38.7086 | 17.293  | 35.1629 | 35.1641   | 13.8447 |
| 1.4996        | 3.04  | 800  | 1.3532          | 39.684  | 18.3222 | 36.162  | 36.1706   | 13.7223 |
| 1.4857        | 3.8   | 1000 | 1.3521          | 39.518  | 18.1439 | 35.9424 | 35.9616   | 13.7654 |
| 1.4661        | 4.56  | 1200 | 1.3499          | 39.8722 | 18.5417 | 36.3954 | 36.4133   | 13.6062 |
| 1.4591        | 5.32  | 1400 | 1.3494          | 40.1145 | 18.6701 | 36.581  | 36.5954   | 13.6018 |
| 1.4488        | 6.08  | 1600 | 1.3470          | 40.0079 | 18.6909 | 36.5312 | 36.5373   | 13.701  |
| 1.437         | 6.84  | 1800 | 1.3471          | 40.355  | 18.8814 | 36.8203 | 36.8338   | 13.6488 |
| 1.4389        | 7.6   | 2000 | 1.3461          | 40.189  | 18.7211 | 36.6556 | 36.6487   | 13.6744 |
| 1.4146        | 8.37  | 2200 | 1.3464          | 40.3692 | 18.8247 | 36.7903 | 36.7986   | 13.6589 |
| 1.421         | 9.13  | 2400 | 1.3457          | 40.1205 | 18.6383 | 36.6147 | 36.6007   | 13.6362 |
| 1.4163        | 9.89  | 2600 | 1.3458          | 40.223  | 18.6957 | 36.6983 | 36.6998   | 13.657  |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "flan-t5-base-SQuAD-qg-ep10", "results": []}]}
transformers pytorch t5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

flan-t5-base-SQuAD-qg-ep10
==========================


This model is a fine-tuned version of google/flan-t5-base on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 1.3457
* Rouge1: 40.1205
* Rouge2: 18.6383
* Rougel: 36.6147
* Rougelsum: 36.6007
* Gen Len: 13.6362


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: 2e-05
* train\_batch\_size: 72
* eval\_batch\_size: 144
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10


### Training results



### Framework versions


* Transformers 4.18.0
* Pytorch 1.10.0+cu111
* Datasets 2.5.1
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 72
* eval\_batch\_size: 144
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.18.0
* Pytorch 1.10.0+cu111
* Datasets 2.5.1
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 72
* eval\_batch\_size: 144
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.18.0
* Pytorch 1.10.0+cu111
* Datasets 2.5.1
* Tokenizers 0.12.1