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Update README.md
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README.md
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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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language: "es"
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tags:
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- generated_from_trainer
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- sentiment
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- emotion
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widget:
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- text: "La vida no merece la pena"
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example_title: "Ejemplo 1"
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- text: "Para vivir así lo mejor es estar muerto"
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example_title: "Ejemplo 2"
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- text: "me siento triste por no poder viajar"
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example_title: "Ejemplo 3"
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- text: "Quiero terminar con todo"
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example_title: "Ejemplo 4"
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- text: "Disfruto de la vista"
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example_title: "Ejemplo 5"
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metrics:
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- accuracy
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model-index:
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- name: clasificacion-texto-suicida-finetuned-amazon-review
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# clasificacion-texto-suicida-finetuned-amazon-review
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This model is a fine-tuned version of [mrm8488/electricidad-small-discriminator](https://huggingface.co/mrm8488/electricidad-small-discriminator) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0458
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- Accuracy: 0.9916
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- lr_scheduler_type: linear
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- num_epochs: 15
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### Training results
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| Training Loss | Epoch | Validation Loss | Accuracy |
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|:-------------:|:-----:|:---------------:|:--------:|
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| 0.161100 | 1.0 | 0.133057 | 0.952718 |
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| 0.134500 | 2.0 | 0.110966 | 0.960804 |
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| 0.108500 | 3.0 | 0.086417 | 0.970835 |
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| 0.099400 | 4.0 | 0.073618 | 0.974856 |
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| 0.090500 | 5.0 | 0.065231 | 0.979629 |
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| 0.080700 | 6.0 | 0.060849 | 0.982324 |
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| 0.069200 | 7.0 | 0.054718 | 0.986125 |
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| 0.060400 | 8.0 | 0.051153 | 0.985948 |
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| 0.048200 | 9.0 | 0.045747 | 0.989748 |
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| 0.045500 | 10.0 | 0.049992 | 0.988069 |
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| 0.043400 | 11.0 | 0.046325 | 0.990234 |
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| 0.034300 | 12.0 | 0.050746 | 0.989792 |
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| 0.032900 | 13.0 | 0.043434 | 0.991737 |
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| 0.028400 | 14.0 | 0.045003 | 0.991869 |
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| 0.022300 | 15.0 | 0.045819 | 0.991648 |
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### Framework versions
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- Transformers 4.17.0
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- Pytorch 1.10.0+cu111
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- Datasets 2.0.0
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- Tokenizers 0.11.6
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---
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