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--- |
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license: other |
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base_model: bertin-project/bertin-roberta-base-spanish |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: roberta_emergency |
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results: [] |
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widget: |
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- text: >- |
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Ayuda por favor, un incendio forestal en las cercanías, ya les dijimos a |
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todos que deben evacuar de inmediato. Por favor, diríjanse al punto de |
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encuentro designado con calma y sigan las instrucciones del personal de |
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emergencia. No intenten regresar a sus hogares hasta nuevo aviso. Su |
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seguridad es nuestra máxima prioridad. |
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example_title: Alerta roja |
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- text: >- |
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Buenos días parece que hay un posible derrame de productos químicos en el |
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área. Por precaución, se les indicó a los residentes a permanecer en el |
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interior, cerrar puertas y ventanas, y apagar sistemas de ventilación. Por |
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favor envíen a alguien a verificar de qué se trata. |
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example_title: Alerta naranja |
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- text: >- |
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Un vehículo se encuentra obstaculizando la vía, parece que no se encuentra |
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nadie en el vehículo, por favor envíen una grúa para mover el vehículo y |
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despejar el tráfico. |
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example_title: Alerta amarilla |
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language: |
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- es |
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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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# roberta_emergency |
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This model is a fine-tuned version of [bertin-project/bertin-roberta-base-spanish](https://huggingface.co/bertin-project/bertin-roberta-base-spanish). |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6280 |
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- Accuracy: 0.7773 |
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## Model description |
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This checkpoint classifies emergency transcribed calls into 3 labels: [CLAVE ROJA, CLAVE NARANJA, CLAVE AMARILLA]. |
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Add some text to see the checkpoint's responses. |
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## Intended uses & limitations |
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Under privacy agreement. |
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## Training and evaluation data |
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Training data used has been provided by the ECU 911 service under a strict confidentiality agreement. |
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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: 8 |
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- eval_batch_size: 8 |
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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: 2 |
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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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| 0.6674 | 1.0 | 559 | 0.6323 | 0.7630 | |
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| 0.5059 | 2.0 | 1118 | 0.6280 | 0.7773 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
