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# t5-base-SQuAD-qg-ep10

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4837
- Rouge1: 39.225
- Rouge2: 17.5912
- Rougel: 35.5634
- Rougelsum: 35.5514
- Gen Len: 13.5941

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.0366        | 0.76  | 200  | 1.6135          | 38.2514 | 16.449  | 34.7626 | 34.7415   | 13.4074 |
| 1.7544        | 1.52  | 400  | 1.5574          | 38.4555 | 16.7217 | 34.8476 | 34.799    | 13.6033 |
| 1.6827        | 2.28  | 600  | 1.5303          | 38.6393 | 16.8394 | 35.0986 | 35.0749   | 13.5573 |
| 1.6544        | 3.04  | 800  | 1.5159          | 38.0175 | 16.4916 | 34.5157 | 34.492    | 13.6831 |
| 1.6202        | 3.8   | 1000 | 1.5046          | 39.029  | 17.2625 | 35.4493 | 35.439    | 13.5815 |
| 1.5817        | 4.56  | 1200 | 1.4998          | 38.5684 | 16.8763 | 34.9933 | 34.9728   | 13.6425 |
| 1.583         | 5.32  | 1400 | 1.4951          | 38.8284 | 17.2627 | 35.2844 | 35.261    | 13.5651 |
| 1.5553        | 6.08  | 1600 | 1.4922          | 38.7763 | 17.1948 | 35.1699 | 35.1494   | 13.6507 |
| 1.5405        | 6.84  | 1800 | 1.4877          | 39.1529 | 17.5602 | 35.5378 | 35.5285   | 13.5893 |
| 1.5391        | 7.6   | 2000 | 1.4854          | 39.2661 | 17.5374 | 35.6662 | 35.649    | 13.6067 |
| 1.5298        | 8.37  | 2200 | 1.4843          | 39.281  | 17.611  | 35.6203 | 35.6159   | 13.6222 |
| 1.5224        | 9.13  | 2400 | 1.4837          | 39.225  | 17.5912 | 35.5634 | 35.5514   | 13.5941 |
| 1.5143        | 9.89  | 2600 | 1.4837          | 39.2284 | 17.5523 | 35.5238 | 35.5112   | 13.5583 |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "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 

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


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


* Loss: 1.4837
* Rouge1: 39.225
* Rouge2: 17.5912
* Rougel: 35.5634
* Rougelsum: 35.5514
* Gen Len: 13.5941


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 1.11.0+cu113
* 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 1.11.0+cu113
* 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 1.11.0+cu113
* Datasets 2.5.1
* Tokenizers 0.12.1