metadata
license: apache-2.0
base_model: BSC-TeMU/roberta-base-bne
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-base-bne-finetuned-detests-ini
results: []
roberta-base-bne-finetuned-detests-ini
This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9922
- Accuracy: 0.8576
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: 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3505 | 1.0 | 153 | 0.3533 | 0.8380 |
| 0.3031 | 2.0 | 306 | 0.3637 | 0.8363 |
| 0.0623 | 3.0 | 459 | 0.6493 | 0.8560 |
| 0.0011 | 4.0 | 612 | 0.8077 | 0.8642 |
| 0.0003 | 5.0 | 765 | 0.9070 | 0.8625 |
| 0.0002 | 6.0 | 918 | 0.9381 | 0.8625 |
| 0.0002 | 7.0 | 1071 | 0.9621 | 0.8592 |
| 0.0001 | 8.0 | 1224 | 0.9787 | 0.8592 |
| 0.0001 | 9.0 | 1377 | 0.9888 | 0.8576 |
| 0.0001 | 10.0 | 1530 | 0.9922 | 0.8576 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2