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# distilbert-base-cased-distilled-squad-finetuned-lr1e-06-epochs50

This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4198

## 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: 1e-06
- 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: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 9    | 4.5183          |
| No log        | 2.0   | 18   | 4.2862          |
| No log        | 3.0   | 27   | 4.1030          |
| No log        | 4.0   | 36   | 3.9555          |
| No log        | 5.0   | 45   | 3.8184          |
| No log        | 6.0   | 54   | 3.6927          |
| No log        | 7.0   | 63   | 3.5723          |
| No log        | 8.0   | 72   | 3.4703          |
| No log        | 9.0   | 81   | 3.3797          |
| No log        | 10.0  | 90   | 3.3053          |
| No log        | 11.0  | 99   | 3.2365          |
| No log        | 12.0  | 108  | 3.1652          |
| No log        | 13.0  | 117  | 3.0925          |
| No log        | 14.0  | 126  | 3.0304          |
| No log        | 15.0  | 135  | 2.9779          |
| No log        | 16.0  | 144  | 2.9331          |
| No log        | 17.0  | 153  | 2.8963          |
| No log        | 18.0  | 162  | 2.8552          |
| No log        | 19.0  | 171  | 2.8178          |
| No log        | 20.0  | 180  | 2.7749          |
| No log        | 21.0  | 189  | 2.7410          |
| No log        | 22.0  | 198  | 2.7161          |
| No log        | 23.0  | 207  | 2.6865          |
| No log        | 24.0  | 216  | 2.6560          |
| No log        | 25.0  | 225  | 2.6324          |
| No log        | 26.0  | 234  | 2.6122          |
| No log        | 27.0  | 243  | 2.5934          |
| No log        | 28.0  | 252  | 2.5708          |
| No log        | 29.0  | 261  | 2.5563          |
| No log        | 30.0  | 270  | 2.5439          |
| No log        | 31.0  | 279  | 2.5285          |
| No log        | 32.0  | 288  | 2.5139          |
| No log        | 33.0  | 297  | 2.5030          |
| No log        | 34.0  | 306  | 2.4906          |
| No log        | 35.0  | 315  | 2.4797          |
| No log        | 36.0  | 324  | 2.4707          |
| No log        | 37.0  | 333  | 2.4638          |
| No log        | 38.0  | 342  | 2.4580          |
| No log        | 39.0  | 351  | 2.4512          |
| No log        | 40.0  | 360  | 2.4475          |
| No log        | 41.0  | 369  | 2.4427          |
| No log        | 42.0  | 378  | 2.4396          |
| No log        | 43.0  | 387  | 2.4355          |
| No log        | 44.0  | 396  | 2.4324          |
| No log        | 45.0  | 405  | 2.4286          |
| No log        | 46.0  | 414  | 2.4251          |
| No log        | 47.0  | 423  | 2.4223          |
| No log        | 48.0  | 432  | 2.4209          |
| No log        | 49.0  | 441  | 2.4201          |
| No log        | 50.0  | 450  | 2.4198          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "distilbert-base-cased-distilled-squad-finetuned-lr1e-06-epochs50", "results": []}]}
transformers pytorch tensorboard distilbert question-answering generated_from_trainer license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #distilbert #question-answering #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us 

distilbert-base-cased-distilled-squad-finetuned-lr1e-06-epochs50
================================================================


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


* Loss: 2.4198


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: 1e-06
* 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: 50


### Training results



### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-06
* 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: 50 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #distilbert #question-answering #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-06
* 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: 50 ### Training results ### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #distilbert #question-answering #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-06
* 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: 50### Training results### Framework versions


* Transformers 4.28.1
* Pytorch 2.0.0+cu118
* Datasets 2.11.0
* Tokenizers 0.13.3