metadata
language:
- vi
license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-base_span_detect_syl
results: []
xlm-roberta-base_span_detect_syl
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the covid19_ner dataset. It achieves the following results on the evaluation set:
- Loss: 0.0682
- X: 0.9549
- F1 Macro: 0.9549
- F1 Micro: 0.9549
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | X | F1 Macro | F1 Micro |
|---|---|---|---|---|---|---|
| 0.1061 | 1.0 | 629 | 0.0699 | 0.9229 | 0.9229 | 0.9229 |
| 0.0366 | 2.0 | 1258 | 0.0813 | 0.9363 | 0.9363 | 0.9363 |
| 0.0223 | 3.0 | 1887 | 0.0707 | 0.9504 | 0.9504 | 0.9504 |
| 0.0144 | 4.0 | 2516 | 0.0661 | 0.9557 | 0.9557 | 0.9557 |
| 0.0092 | 5.0 | 3145 | 0.0682 | 0.9549 | 0.9549 | 0.9549 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1