metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-base-bne-finetuned-recores
results: []
roberta-base-bne-finetuned-recores
This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-bne on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1113
- Accuracy: 0.4601
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.5294 | 1.0 | 1047 | 1.4094 | 0.4242 |
| 0.6886 | 2.0 | 2094 | 2.1629 | 0.4545 |
| 0.0779 | 3.0 | 3141 | 2.3083 | 0.4545 |
| 0.0103 | 4.0 | 4188 | 3.0327 | 0.4628 |
| 0.0019 | 5.0 | 5235 | 3.1113 | 0.4601 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.1+cu102
- Datasets 2.2.1
- Tokenizers 0.12.1