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--- |
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license: mit |
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base_model: FacebookAI/xlm-roberta-base |
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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: e_care_xlm_roberta_base_finetuned |
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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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# e_care_xlm_roberta_base_finetuned |
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co./FacebookAI/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: 0.6184 |
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- F1: 0.7208 |
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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: 16 |
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- eval_batch_size: 16 |
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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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| 0.6735 | 1.0 | 933 | 0.5926 | 0.6639 | |
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| 0.6001 | 2.0 | 1866 | 0.5624 | 0.6952 | |
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| 0.5482 | 3.0 | 2799 | 0.5460 | 0.7025 | |
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| 0.4975 | 4.0 | 3732 | 0.5534 | 0.7122 | |
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| 0.4487 | 5.0 | 4665 | 0.5646 | 0.7205 | |
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| 0.4091 | 6.0 | 5598 | 0.5910 | 0.7185 | |
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| 0.3674 | 7.0 | 6531 | 0.6184 | 0.7208 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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