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# test-squad-trained

This model was trained from scratch on an unkown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2026

## 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: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.988         | 1.0   | 5486  | 1.1790          |
| 0.7793        | 2.0   | 10972 | 1.2026          |
| 0.8068        | 3.0   | 16458 | 1.2026          |


### Framework versions

- Transformers 4.6.1
- Pytorch 1.8.1+cu101
- Datasets 1.6.2
- Tokenizers 0.10.3

{}
transformers pytorch distilbert question-answering endpoints_compatible region:us
TAGS
#transformers #pytorch #distilbert #question-answering #endpoints_compatible #region-us 

test-squad-trained
==================


This model was trained from scratch on an unkown dataset.
It achieves the following results on the evaluation set:


* Loss: 1.2026


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: 3


### Training results



### Framework versions


* Transformers 4.6.1
* Pytorch 1.8.1+cu101
* Datasets 1.6.2
* Tokenizers 0.10.3



### 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: 3 ### Training results ### Framework versions


* Transformers 4.6.1
* Pytorch 1.8.1+cu101
* Datasets 1.6.2
* Tokenizers 0.10.3
TAGS
#transformers #pytorch #distilbert #question-answering #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: 3 ### Training results ### Framework versions


* Transformers 4.6.1
* Pytorch 1.8.1+cu101
* Datasets 1.6.2
* Tokenizers 0.10.3
passage: TAGS
#transformers #pytorch #distilbert #question-answering #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: 3### Training results### Framework versions


* Transformers 4.6.1
* Pytorch 1.8.1+cu101
* Datasets 1.6.2
* Tokenizers 0.10.3