metadata

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: []

clasificacion-texto-suicida-finetuned-amazon-review

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: 0.1546
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