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# distilbert-finetuned-lr1e-07-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: 5.0791

## 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-07
- 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   | 10   | 6.3771          |
| No log        | 2.0   | 20   | 6.2726          |
| No log        | 3.0   | 30   | 6.1763          |
| No log        | 4.0   | 40   | 6.0874          |
| No log        | 5.0   | 50   | 6.0031          |
| No log        | 6.0   | 60   | 5.9324          |
| No log        | 7.0   | 70   | 5.8631          |
| No log        | 8.0   | 80   | 5.7979          |
| No log        | 9.0   | 90   | 5.7419          |
| No log        | 10.0  | 100  | 5.6885          |
| No log        | 11.0  | 110  | 5.6398          |
| No log        | 12.0  | 120  | 5.5935          |
| No log        | 13.0  | 130  | 5.5529          |
| No log        | 14.0  | 140  | 5.5161          |
| No log        | 15.0  | 150  | 5.4811          |
| No log        | 16.0  | 160  | 5.4510          |
| No log        | 17.0  | 170  | 5.4228          |
| No log        | 18.0  | 180  | 5.3964          |
| No log        | 19.0  | 190  | 5.3720          |
| No log        | 20.0  | 200  | 5.3489          |
| No log        | 21.0  | 210  | 5.3276          |
| No log        | 22.0  | 220  | 5.3074          |
| No log        | 23.0  | 230  | 5.2877          |
| No log        | 24.0  | 240  | 5.2698          |
| No log        | 25.0  | 250  | 5.2526          |
| No log        | 26.0  | 260  | 5.2368          |
| No log        | 27.0  | 270  | 5.2228          |
| No log        | 28.0  | 280  | 5.2092          |
| No log        | 29.0  | 290  | 5.1971          |
| No log        | 30.0  | 300  | 5.1854          |
| No log        | 31.0  | 310  | 5.1746          |
| No log        | 32.0  | 320  | 5.1642          |
| No log        | 33.0  | 330  | 5.1541          |
| No log        | 34.0  | 340  | 5.1452          |
| No log        | 35.0  | 350  | 5.1367          |
| No log        | 36.0  | 360  | 5.1286          |
| No log        | 37.0  | 370  | 5.1218          |
| No log        | 38.0  | 380  | 5.1156          |
| No log        | 39.0  | 390  | 5.1093          |
| No log        | 40.0  | 400  | 5.1039          |
| No log        | 41.0  | 410  | 5.0988          |
| No log        | 42.0  | 420  | 5.0947          |
| No log        | 43.0  | 430  | 5.0909          |
| No log        | 44.0  | 440  | 5.0877          |
| No log        | 45.0  | 450  | 5.0850          |
| No log        | 46.0  | 460  | 5.0829          |
| No log        | 47.0  | 470  | 5.0811          |
| No log        | 48.0  | 480  | 5.0799          |
| No log        | 49.0  | 490  | 5.0793          |
| 5.1249        | 50.0  | 500  | 5.0791          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "distilbert-finetuned-lr1e-07-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-finetuned-lr1e-07-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: 5.0791


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-07
* 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 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-07
* 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 2.12.0
* 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-07
* 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 2.12.0
* Tokenizers 0.13.3