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--- |
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license: apache-2.0 |
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tags: |
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- |
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datasets: |
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- EXIST Dataset |
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- MeTwo Machismo and Sexism Twitter Identification dataset |
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metrics: |
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- accuracy |
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model-index: |
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- name: twitter_sexismo-finetuned-exist2021 |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: EXIST Dataset |
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type: EXIST Dataset |
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args: es |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.80 |
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--- |
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# twitter_sexismo-finetuned-exist2021 |
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This model is a fine-tuned version of [pysentimiento/robertuito-hate-speech](https://huggingface.co/pysentimiento/robertuito-hate-speech) on the EXIST dataset and + MeTwo: Machismo and Sexism Twitter Identification dataset https://github.com/franciscorodriguez92/MeTwo. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4 |
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- Accuracy: 0.80 |
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## Model description |
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Modelo para el Hackaton de Somos NLP para detección de sexismo en twitts en español |
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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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- my_learning_rate = 5E-5 |
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- my_adam_epsilon = 1E-8 |
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- my_number_of_epochs = 8 |
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- my_warmup = 3 |
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- my_mini_batch_size = 32 |
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- optimizer: AdamW with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 8 |
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### Training results |
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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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- Tokenizers 0.11.6 |
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