pytorch tensorboard electra text-classification es transformers generated_from_trainer sentiment emotion model-index
---
language: "es"

tags:
- generated_from_trainer
- sentiment
- emotion
widget:
- text: "no me gusta esta vida."
  example_title: "Ejemplo 1"
- text: "odio estar ahi"
  example_title: "Ejemplo 2"
- text: "me siento triste por no poder viajar"
  example_title: "Ejemplo 3"
metrics:
- accuracy
model-index:
- name: clasificacion-texto-suicida-finetuned-amazon-review
  results: []
---

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# clasificacion-texto-suicida-finetuned-amazon-review

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: 0.1546
- Accuracy: 0.9488

## 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: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.1643        | 1.0   | 12022 | 0.1546          | 0.9488   |


### Framework versions

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