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--- |
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license: mit |
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base_model: xlm-roberta-large |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: refine-good-name-xlm-roberta |
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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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# refine-good-name-xlm-roberta |
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This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co./xlm-roberta-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2236 |
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- F1: 0.8688 |
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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: 1e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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: 6 |
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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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| 0.2618 | 1.0 | 553 | 0.2357 | 0.8314 | |
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| 0.2025 | 2.0 | 1106 | 0.2209 | 0.8661 | |
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| 0.186 | 3.0 | 1659 | 0.2075 | 0.8588 | |
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| 0.162 | 4.0 | 2212 | 0.2234 | 0.8609 | |
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| 0.1428 | 5.0 | 2765 | 0.2233 | 0.8700 | |
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| 0.1328 | 6.0 | 3318 | 0.2236 | 0.8688 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 2.0.0 |
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- Datasets 2.14.0 |
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- Tokenizers 0.13.3 |
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