metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: relation_extraction_roberta_base
results: []
relation_extraction_roberta_base
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5120
- F1: 0.4292
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 2.8498 | 1.0 | 107 | 2.6698 | 0.0540 |
| 2.4514 | 2.0 | 214 | 2.2383 | 0.1557 |
| 2.0199 | 3.0 | 321 | 1.9596 | 0.2756 |
| 1.6452 | 4.0 | 428 | 1.9246 | 0.3251 |
| 1.2583 | 5.0 | 535 | 1.9095 | 0.3797 |
| 0.9493 | 6.0 | 642 | 2.2248 | 0.3964 |
| 0.6915 | 7.0 | 749 | 2.1882 | 0.4008 |
| 0.4993 | 8.0 | 856 | 2.3672 | 0.4258 |
| 0.354 | 9.0 | 963 | 2.5120 | 0.4292 |
| 0.262 | 10.0 | 1070 | 2.5574 | 0.4290 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0