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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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- masakhaner2 |
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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-wolof |
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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: masakhaner2 |
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type: masakhaner2 |
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config: wol |
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split: validation |
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args: wol |
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metrics: |
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- name: F1 |
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type: f1 |
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value: 0.8537350910232265 |
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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-wolof |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the masakhaner2 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2257 |
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- F1: 0.8537 |
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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: 4.876283744888558e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 7 |
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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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| 0.4246 | 1.0 | 739 | 0.2225 | 0.7077 | |
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| 0.1938 | 2.0 | 1478 | 0.1952 | 0.7762 | |
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| 0.1226 | 3.0 | 2217 | 0.1778 | 0.8077 | |
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| 0.0748 | 4.0 | 2956 | 0.1746 | 0.8303 | |
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| 0.0466 | 5.0 | 3695 | 0.1864 | 0.8419 | |
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| 0.0263 | 6.0 | 4434 | 0.2300 | 0.8483 | |
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| 0.0137 | 7.0 | 5173 | 0.2257 | 0.8537 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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