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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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- pytorch |
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- XLMRobertaForTokenClassification |
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- named-entity-recognition |
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- wikipedia |
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- generated_from_trainer |
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model-index: |
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- name: xlm-roberta-base-wikineural |
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results: [] |
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datasets: |
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- tner/wikineural |
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- tner/multinerd |
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library_name: transformers |
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pipeline_tag: token-classification |
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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-wikineural |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0467 |
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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: 3e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 128 |
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- seed: 37912547 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 100000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:------:|:---------------:| |
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| 0.0858 | 0.14 | 10000 | 0.0817 | |
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| 0.0719 | 0.28 | 20000 | 0.0660 | |
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| 0.0656 | 0.43 | 30000 | 0.0631 | |
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| 0.0598 | 0.57 | 40000 | 0.0574 | |
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| 0.0551 | 0.71 | 50000 | 0.0534 | |
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| 0.0523 | 0.85 | 60000 | 0.0512 | |
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| 0.0519 | 0.99 | 70000 | 0.0484 | |
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| 0.0418 | 1.13 | 80000 | 0.0480 | |
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| 0.042 | 1.28 | 90000 | 0.0469 | |
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| 0.041 | 1.42 | 100000 | 0.0467 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
