goemotions_bertspanish_finetunig_d
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: 1.8151
- Accuracy: 0.5125
- F1: 0.3757
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 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Downloads last month
- 5
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Dataset used to train mrovejaxd/goemotions_bertspanish_finetunig_d
Evaluation results
- Accuracy on go_emotionstest set self-reported0.512
- F1 on go_emotionstest set self-reported0.376