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--- |
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license: mit |
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base_model: xlm-roberta-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- msra_ner |
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metrics: |
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- f1 |
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model-index: |
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- name: xlm-roberta-base-finetuned-msra |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# xlm-roberta-base-finetuned-msra |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the msra_ner dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0661 |
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- F1: 0.8221 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 48 |
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- eval_batch_size: 48 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.1946 | 1.0 | 938 | 0.0948 | 0.6865 | |
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| 0.0744 | 2.0 | 1876 | 0.0813 | 0.7592 | |
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| 0.0466 | 3.0 | 2814 | 0.0697 | 0.7956 | |
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| 0.0307 | 4.0 | 3752 | 0.0655 | 0.8104 | |
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| 0.0219 | 5.0 | 4690 | 0.0661 | 0.8221 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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