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# electricidad-small-discriminator-finetuned-clasificacion-texto-suicida
This model is a fine-tuned version of [mrm8488/electricidad-small-discriminator](https://huggingface.co/mrm8488/electricidad-small-discriminator) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0458
- Accuracy: 0.9916 
## 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: 32
- eval_batch_size: 32
- lr_scheduler_type: linear
- num_epochs: 15
### Training results
| Training Loss | Epoch | Validation Loss | Accuracy |
|:-------------:|:-----:|:---------------:|:--------:|
| 0.161100       | 1.0   | 0.133057         | 0.952718 |
| 0.134500        | 2.0   | 0.110966       | 0.960804 |
| 0.108500        | 3.0   | 0.086417      | 0.970835 |
| 0.099400        | 4.0   | 0.073618      | 0.974856 |
| 0.090500       | 5.0   | 0.065231       | 0.979629 |
| 0.080700       | 6.0   | 0.060849    | 0.982324   |
| 0.069200        | 7.0   | 0.054718       | 0.986125 |
| 0.060400        | 8.0   | 0.051153        | 0.985948 |
| 0.048200        | 9.0   | 0.045747       | 0.989748 |
| 0.045500        | 10.0   | 0.049992        | 0.988069 |
| 0.043400        | 11.0   | 0.046325         | 0.990234 |
| 0.034300        | 12.0   | 0.050746         | 0.989792 |
| 0.032900        | 13.0   | 0.043434       | 0.991737 |
| 0.028400        | 14.0   | 0.045003        | 0.991869 |
| 0.022300        | 15.0   | 0.045819        | 0.991648 |


### Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6

{"language": "es", "license": "afl-3.0", "tags": ["generated_from_trainer", "sentiment", "emotion"], "metrics": ["accuracy"], "widget": [{"text": "La vida no merece la pena", "example_title": "Ejemplo 1"}, {"text": "Para vivir as\u00ed lo mejor es estar muerto", "example_title": "Ejemplo 2"}, {"text": "me siento triste por no poder viajar", "example_title": "Ejemplo 3"}, {"text": "Quiero terminar con todo", "example_title": "Ejemplo 4"}, {"text": "Disfruto de la vista", "example_title": "Ejemplo 5"}], "model-index": [{"name": "electricidad-small-discriminator-finetuned-clasificacion-texto-suicida", "results": []}]}
transformers pytorch tensorboard electra text-classification generated_from_trainer sentiment emotion es license:afl-3.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #electra #text-classification #generated_from_trainer #sentiment #emotion #es #license-afl-3.0 #autotrain_compatible #endpoints_compatible #region-us 

electricidad-small-discriminator-finetuned-clasificacion-texto-suicida
======================================================================


This model is a fine-tuned version of mrm8488/electricidad-small-discriminator on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 0.0458
* Accuracy: 0.9916


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: 32
* eval\_batch\_size: 32
* lr\_scheduler\_type: linear
* num\_epochs: 15


### Training results



### Framework versions


* Transformers 4.17.0
* Pytorch 1.10.0+cu111
* Datasets 2.0.0
* Tokenizers 0.11.6



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* lr\_scheduler\_type: linear
* num\_epochs: 15 ### Training results ### Framework versions


* Transformers 4.17.0
* Pytorch 1.10.0+cu111
* Datasets 2.0.0
* Tokenizers 0.11.6
TAGS
#transformers #pytorch #tensorboard #electra #text-classification #generated_from_trainer #sentiment #emotion #es #license-afl-3.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* lr\_scheduler\_type: linear
* num\_epochs: 15 ### Training results ### Framework versions


* Transformers 4.17.0
* Pytorch 1.10.0+cu111
* Datasets 2.0.0
* Tokenizers 0.11.6
passage: TAGS
#transformers #pytorch #tensorboard #electra #text-classification #generated_from_trainer #sentiment #emotion #es #license-afl-3.0 #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 32
* eval\_batch\_size: 32
* lr\_scheduler\_type: linear
* num\_epochs: 15### Training results### Framework versions


* Transformers 4.17.0
* Pytorch 1.10.0+cu111
* Datasets 2.0.0
* Tokenizers 0.11.6