metadata
license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: xlm-roberta-base-finetuned-ner
results: []
xlm-roberta-base-finetuned-ner
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0533
- Precision: 0.9431
- Recall: 0.9740
- F1: 0.9583
- Accuracy: 0.9850
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: 2
- eval_batch_size: 2
- 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 |
|---|---|---|---|---|---|---|---|
| 0.1784 | 1.0 | 4667 | 0.1376 | 0.8521 | 0.9175 | 0.8836 | 0.9580 |
| 0.1155 | 2.0 | 9334 | 0.0790 | 0.9150 | 0.9636 | 0.9387 | 0.9779 |
| 0.086 | 3.0 | 14001 | 0.0533 | 0.9431 | 0.9740 | 0.9583 | 0.9850 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1