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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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datasets: |
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- xtreme |
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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-panx-de |
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results: |
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- task: |
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name: Token Classification |
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type: token-classification |
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dataset: |
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name: xtreme |
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type: xtreme |
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args: PAN-X.de |
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metrics: |
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- name: F1 |
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type: f1 |
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value: 0.8786639400136332 |
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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-panx-de |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2182 |
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- F1: 0.8787 |
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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: 24 |
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- eval_batch_size: 24 |
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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: 10 |
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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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| 0.2639 | 1.0 | 525 | 0.1798 | 0.8056 | |
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| 0.1404 | 2.0 | 1050 | 0.1577 | 0.8370 | |
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| 0.0994 | 3.0 | 1575 | 0.1451 | 0.8554 | |
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| 0.0721 | 4.0 | 2100 | 0.1516 | 0.8532 | |
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| 0.0518 | 5.0 | 2625 | 0.1648 | 0.8630 | |
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| 0.0341 | 6.0 | 3150 | 0.1926 | 0.8706 | |
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| 0.024 | 7.0 | 3675 | 0.1911 | 0.8721 | |
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| 0.0153 | 8.0 | 4200 | 0.2029 | 0.8773 | |
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| 0.0097 | 9.0 | 4725 | 0.2146 | 0.8773 | |
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| 0.0075 | 10.0 | 5250 | 0.2182 | 0.8787 | |
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### Framework versions |
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- Transformers 4.16.2 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 1.16.1 |
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- Tokenizers 0.22.1 |
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