metadata
license: apache-2.0
base_model: distilbert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: modelo_racismo_13_dez
results: []
modelo_racismo_13_dez
This model is a fine-tuned version of distilbert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0996
- F1: 0.9861
- Accuracy: 0.9844
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
|---|---|---|---|---|---|
| 0.6264 | 1.0 | 643 | 0.6426 | 0.8423 | 0.8179 |
| 0.7407 | 2.0 | 1286 | 0.4516 | 0.9121 | 0.9019 |
| 0.5953 | 3.0 | 1929 | 0.2944 | 0.9492 | 0.9416 |
| 0.3275 | 4.0 | 2572 | 0.3128 | 0.9522 | 0.9447 |
| 0.3185 | 5.0 | 3215 | 0.1861 | 0.9732 | 0.9696 |
| 0.1702 | 6.0 | 3858 | 0.1225 | 0.9818 | 0.9798 |
| 0.1411 | 7.0 | 4501 | 0.1027 | 0.9854 | 0.9837 |
| 0.0895 | 8.0 | 5144 | 0.0996 | 0.9861 | 0.9844 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0