xlm-roberta-base-finetuned-msra
This model is a fine-tuned version of xlm-roberta-base on the msra_ner dataset. It achieves the following results on the evaluation set:
- Loss: 0.0661
- F1: 0.8221
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: 48
- eval_batch_size: 48
- 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 | F1 |
|---|---|---|---|---|
| 0.1946 | 1.0 | 938 | 0.0948 | 0.6865 |
| 0.0744 | 2.0 | 1876 | 0.0813 | 0.7592 |
| 0.0466 | 3.0 | 2814 | 0.0697 | 0.7956 |
| 0.0307 | 4.0 | 3752 | 0.0655 | 0.8104 |
| 0.0219 | 5.0 | 4690 | 0.0661 | 0.8221 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for jiaweiyu/xlm-roberta-base-finetuned-msra
Base model
FacebookAI/xlm-roberta-base