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# t5-end2end-questions-answers-generation

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the squad_modified_for_t5_qg dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3810

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5388        | 0.34  | 100  | 1.7772          |
| 1.8647        | 0.68  | 200  | 1.6304          |
| 1.7367        | 1.02  | 300  | 1.5443          |
| 1.6048        | 1.36  | 400  | 1.4884          |
| 1.5559        | 1.69  | 500  | 1.4590          |
| 1.5309        | 2.03  | 600  | 1.4440          |
| 1.465         | 2.37  | 700  | 1.4215          |
| 1.4601        | 2.71  | 800  | 1.4078          |
| 1.4439        | 3.05  | 900  | 1.4123          |
| 1.3988        | 3.39  | 1000 | 1.4108          |
| 1.3896        | 3.73  | 1100 | 1.3915          |
| 1.3781        | 4.07  | 1200 | 1.3927          |
| 1.3557        | 4.41  | 1300 | 1.3849          |
| 1.3476        | 4.75  | 1400 | 1.3877          |
| 1.3419        | 5.08  | 1500 | 1.3836          |
| 1.3203        | 5.42  | 1600 | 1.3765          |
| 1.3135        | 5.76  | 1700 | 1.3754          |
| 1.3251        | 6.1   | 1800 | 1.3794          |
| 1.3004        | 6.44  | 1900 | 1.3786          |
| 1.299         | 6.78  | 2000 | 1.3810          |


### Framework versions

- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["squad_modified_for_t5_qg"], "model-index": [{"name": "t5-end2end-questions-answers-generation", "results": []}]}
transformers pytorch t5 text2text-generation generated_from_trainer dataset:squad_modified_for_t5_qg license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #dataset-squad_modified_for_t5_qg #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

t5-end2end-questions-answers-generation
=======================================


This model is a fine-tuned version of t5-base on the squad\_modified\_for\_t5\_qg dataset.
It achieves the following results on the evaluation set:


* Loss: 1.3810


### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* gradient\_accumulation\_steps: 16
* total\_train\_batch\_size: 64
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 7


### Training results



### Framework versions


* Transformers 4.23.1
* Pytorch 1.12.1+cu113
* Datasets 2.6.1
* Tokenizers 0.13.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* gradient\_accumulation\_steps: 16
* total\_train\_batch\_size: 64
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 7 ### Training results ### Framework versions


* Transformers 4.23.1
* Pytorch 1.12.1+cu113
* Datasets 2.6.1
* Tokenizers 0.13.1
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #dataset-squad_modified_for_t5_qg #license-apache-2.0 #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: 4
* eval\_batch\_size: 4
* seed: 42
* gradient\_accumulation\_steps: 16
* total\_train\_batch\_size: 64
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 7 ### Training results ### Framework versions


* Transformers 4.23.1
* Pytorch 1.12.1+cu113
* Datasets 2.6.1
* Tokenizers 0.13.1
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #dataset-squad_modified_for_t5_qg #license-apache-2.0 #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: 4
* eval\_batch\_size: 4
* seed: 42
* gradient\_accumulation\_steps: 16
* total\_train\_batch\_size: 64
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 7### Training results### Framework versions


* Transformers 4.23.1
* Pytorch 1.12.1+cu113
* Datasets 2.6.1
* Tokenizers 0.13.1