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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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metrics: |
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- f1 |
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- accuracy |
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model-index: |
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- name: bert-finetuned-Location |
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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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# bert-finetuned-Location |
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This model is a fine-tuned version of [dbmdz/bert-base-french-europeana-cased](https://huggingface.co/dbmdz/bert-base-french-europeana-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5462 |
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- F1: 0.8167 |
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- Roc Auc: 0.8624 |
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- Accuracy: 0.8133 |
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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: 2e-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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:| |
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| 0.4229 | 1.0 | 742 | 0.3615 | 0.7402 | 0.8014 | 0.6900 | |
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| 0.3722 | 2.0 | 1484 | 0.3103 | 0.7906 | 0.8416 | 0.7796 | |
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| 0.262 | 3.0 | 2226 | 0.3364 | 0.8135 | 0.8600 | 0.8100 | |
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| 0.2239 | 4.0 | 2968 | 0.4593 | 0.8085 | 0.8561 | 0.8066 | |
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| 0.1461 | 5.0 | 3710 | 0.5534 | 0.7923 | 0.8440 | 0.7904 | |
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| 0.1333 | 6.0 | 4452 | 0.5462 | 0.8167 | 0.8624 | 0.8133 | |
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| 0.0667 | 7.0 | 5194 | 0.6298 | 0.7972 | 0.8479 | 0.7958 | |
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| 0.0616 | 8.0 | 5936 | 0.6362 | 0.8075 | 0.8556 | 0.8059 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.2.2 |
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- Tokenizers 0.12.1 |
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