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--- |
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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: "no me gusta esta vida." |
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example_title: "Ejemplo 1" |
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- text: "odio estar ahi" |
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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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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: 0.1546 |
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- Accuracy: 0.9488 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 0.1643 | 1.0 | 12022 | 0.1546 | 0.9488 | |
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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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