leofn3/modelo_racismo_update_13dez
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README.md
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---
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license: apache-2.0
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base_model: distilbert-base-multilingual-cased
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tags:
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- generated_from_trainer
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metrics:
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- f1
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- accuracy
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model-index:
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- name: modelo_racismo_13_dez
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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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# modelo_racismo_13_dez
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This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0996
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- F1: 0.9861
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- Accuracy: 0.9844
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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: 1e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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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: 8
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
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| 0.6264 | 1.0 | 643 | 0.6426 | 0.8423 | 0.8179 |
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| 0.7407 | 2.0 | 1286 | 0.4516 | 0.9121 | 0.9019 |
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| 0.5953 | 3.0 | 1929 | 0.2944 | 0.9492 | 0.9416 |
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| 0.3275 | 4.0 | 2572 | 0.3128 | 0.9522 | 0.9447 |
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| 0.3185 | 5.0 | 3215 | 0.1861 | 0.9732 | 0.9696 |
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| 0.1702 | 6.0 | 3858 | 0.1225 | 0.9818 | 0.9798 |
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| 0.1411 | 7.0 | 4501 | 0.1027 | 0.9854 | 0.9837 |
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| 0.0895 | 8.0 | 5144 | 0.0996 | 0.9861 | 0.9844 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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