goemotions_bertspanish_finetunig_f
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on the go_emotions dataset. It achieves the following results on the evaluation set:
- Loss: 2.2528
- Accuracy: 0.4433
- F1: 0.3108
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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Dataset used to train mrovejaxd/goemotions_bertspanish_finetunig_f
Evaluation results
- Accuracy on go_emotionstest set self-reported0.443
- F1 on go_emotionstest set self-reported0.311