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# Regression_electra

This model is a fine-tuned version of [google/electra-small-generator](https://huggingface.co/google/electra-small-generator) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8817
- Mse: 3.8817
- Mae: 1.3788
- R2: -1.0029
- Accuracy: 0.5714

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mse    | Mae    | R2      | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:-------:|:--------:|
| No log        | 1.0   | 4    | 3.9672          | 3.9672 | 1.7046 | -2.7223 | 0.2857   |
| No log        | 2.0   | 8    | 3.6507          | 3.6507 | 1.6091 | -2.4254 | 0.2857   |
| No log        | 3.0   | 12   | 3.3083          | 3.3083 | 1.5005 | -2.1041 | 0.2857   |
| No log        | 4.0   | 16   | 2.9698          | 2.9698 | 1.3825 | -1.7865 | 0.4286   |
| No log        | 5.0   | 20   | 2.6694          | 2.6694 | 1.2744 | -1.5047 | 0.4286   |
| No log        | 6.0   | 24   | 2.4048          | 2.4048 | 1.2286 | -1.2564 | 0.4286   |
| No log        | 7.0   | 28   | 2.1518          | 2.1518 | 1.1790 | -1.0190 | 0.4286   |
| No log        | 8.0   | 32   | 1.9522          | 1.9522 | 1.1423 | -0.8317 | 0.4286   |
| No log        | 9.0   | 36   | 2.0610          | 2.0610 | 1.1825 | -0.9338 | 0.4286   |
| No log        | 10.0  | 40   | 1.8352          | 1.8352 | 1.1380 | -0.7219 | 0.4286   |
| No log        | 11.0  | 44   | 1.6168          | 1.6168 | 1.1210 | -0.5170 | 0.1429   |
| No log        | 12.0  | 48   | 1.5023          | 1.5023 | 1.0944 | -0.4096 | 0.1429   |
| No log        | 13.0  | 52   | 1.4374          | 1.4374 | 1.0865 | -0.3486 | 0.1429   |
| No log        | 14.0  | 56   | 1.3763          | 1.3763 | 1.0785 | -0.2913 | 0.1429   |
| No log        | 15.0  | 60   | 1.3164          | 1.3164 | 1.0703 | -0.2352 | 0.1429   |
| No log        | 16.0  | 64   | 1.2879          | 1.2879 | 1.0727 | -0.2084 | 0.1429   |
| No log        | 17.0  | 68   | 1.2538          | 1.2538 | 1.0665 | -0.1764 | 0.0      |
| No log        | 18.0  | 72   | 1.2234          | 1.2234 | 1.0575 | -0.1479 | 0.0      |
| No log        | 19.0  | 76   | 1.2146          | 1.2146 | 1.0594 | -0.1396 | 0.0      |
| No log        | 20.0  | 80   | 1.2174          | 1.2174 | 1.0659 | -0.1422 | 0.0      |
| No log        | 21.0  | 84   | 1.1976          | 1.1976 | 1.0614 | -0.1237 | 0.0      |
| No log        | 22.0  | 88   | 1.1767          | 1.1767 | 1.0557 | -0.1041 | 0.0      |
| No log        | 23.0  | 92   | 1.1603          | 1.1603 | 1.0510 | -0.0887 | 0.0      |
| No log        | 24.0  | 96   | 1.1488          | 1.1488 | 1.0479 | -0.0779 | 0.0      |
| No log        | 25.0  | 100  | 1.1380          | 1.1380 | 1.0444 | -0.0677 | 0.0      |
| No log        | 26.0  | 104  | 1.1299          | 1.1299 | 1.0415 | -0.0602 | 0.0      |
| No log        | 27.0  | 108  | 1.1245          | 1.1245 | 1.0395 | -0.0551 | 0.0      |
| No log        | 28.0  | 112  | 1.1206          | 1.1206 | 1.0380 | -0.0514 | 0.0      |
| No log        | 29.0  | 116  | 1.1185          | 1.1185 | 1.0371 | -0.0494 | 0.0      |
| No log        | 30.0  | 120  | 1.1175          | 1.1175 | 1.0367 | -0.0485 | 0.0      |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "Regression_electra", "results": []}]}
transformers pytorch tensorboard electra text-classification generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #electra #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 

Regression\_electra
===================


This model is a fine-tuned version of google/electra-small-generator on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 3.8817
* Mse: 3.8817
* Mae: 1.3788
* R2: -1.0029
* Accuracy: 0.5714


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: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 30


### Training results



### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 30 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #electra #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 30 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #electra #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 30### Training results### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2