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# my_awesome_qa_model

This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6395

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 250  | 0.5410          |
| 0.4883        | 2.0   | 500  | 0.5437          |
| 0.4883        | 3.0   | 750  | 0.5913          |
| 0.226         | 4.0   | 1000 | 0.7683          |
| 0.226         | 5.0   | 1250 | 0.8280          |
| 0.1266        | 6.0   | 1500 | 0.8528          |
| 0.1266        | 7.0   | 1750 | 0.9454          |
| 0.0868        | 8.0   | 2000 | 1.1004          |
| 0.0868        | 9.0   | 2250 | 1.2183          |
| 0.0608        | 10.0  | 2500 | 1.2702          |
| 0.0608        | 11.0  | 2750 | 1.3823          |
| 0.0427        | 12.0  | 3000 | 1.4355          |
| 0.0427        | 13.0  | 3250 | 1.4961          |
| 0.0318        | 14.0  | 3500 | 1.6042          |
| 0.0318        | 15.0  | 3750 | 1.6052          |
| 0.0271        | 16.0  | 4000 | 1.5435          |
| 0.0271        | 17.0  | 4250 | 1.6205          |
| 0.0215        | 18.0  | 4500 | 1.6248          |
| 0.0215        | 19.0  | 4750 | 1.6113          |
| 0.0157        | 20.0  | 5000 | 1.6395          |


### Framework versions

- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2

{"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "my_awesome_qa_model", "results": []}]}
transformers pytorch tensorboard roberta question-answering generated_from_trainer dataset:squad license:cc-by-4.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #roberta #question-answering #generated_from_trainer #dataset-squad #license-cc-by-4.0 #endpoints_compatible #region-us 

my\_awesome\_qa\_model
======================


This model is a fine-tuned version of deepset/roberta-base-squad2 on the squad dataset.
It achieves the following results on the evaluation set:


* Loss: 1.6395


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: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20


### Training results



### Framework versions


* Transformers 4.27.3
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20 ### Training results ### Framework versions


* Transformers 4.27.3
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #roberta #question-answering #generated_from_trainer #dataset-squad #license-cc-by-4.0 #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20 ### Training results ### Framework versions


* Transformers 4.27.3
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #roberta #question-answering #generated_from_trainer #dataset-squad #license-cc-by-4.0 #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20### Training results### Framework versions


* Transformers 4.27.3
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* Tokenizers 0.13.2