RoBertaLex_v11
This model is a fine-tuned version of PlanTL-GOB-ES/RoBERTalex on the None dataset. It achieves the following results on the evaluation set:
- Accuracy: 0.9082
- F1: 0.9079
- Precision: 0.9100
- Recall: 0.9088
- Loss: 0.4927
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 15
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1
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Model tree for JhonMR/RoBertaLex_v11
Base model
PlanTL-GOB-ES/RoBERTalex