metadata
library_name: transformers
license: apache-2.0
base_model: PlanTL-GOB-ES/roberta-large-bne
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: roberta-large-pos
results: []
roberta-large-pos
This model is a fine-tuned version of PlanTL-GOB-ES/roberta-large-bne on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0769
- Precision: 0.9838
- Recall: 0.9865
- F1: 0.9852
- Accuracy: 0.9845
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: 2e-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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.2146 | 1.0 | 603 | 0.0843 | 0.9781 | 0.9805 | 0.9793 | 0.9786 |
| 0.0322 | 2.0 | 1206 | 0.0714 | 0.9837 | 0.9849 | 0.9843 | 0.9837 |
| 0.0147 | 3.0 | 1809 | 0.0769 | 0.9838 | 0.9865 | 0.9852 | 0.9845 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Tokenizers 0.19.1