update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: bert-finetuned-Location
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# bert-finetuned-Location
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.5462
+- F1: 0.8167
+- Roc Auc: 0.8624
+- Accuracy: 0.8133
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| 0.4229        | 1.0   | 742  | 0.3615          | 0.7402 | 0.8014  | 0.6900   |
+| 0.3722        | 2.0   | 1484 | 0.3103          | 0.7906 | 0.8416  | 0.7796   |
+| 0.262         | 3.0   | 2226 | 0.3364          | 0.8135 | 0.8600  | 0.8100   |
+| 0.2239        | 4.0   | 2968 | 0.4593          | 0.8085 | 0.8561  | 0.8066   |
+| 0.1461        | 5.0   | 3710 | 0.5534          | 0.7923 | 0.8440  | 0.7904   |
+| 0.1333        | 6.0   | 4452 | 0.5462          | 0.8167 | 0.8624  | 0.8133   |
+| 0.0667        | 7.0   | 5194 | 0.6298          | 0.7972 | 0.8479  | 0.7958   |
+| 0.0616        | 8.0   | 5936 | 0.6362          | 0.8075 | 0.8556  | 0.8059   |
+
+
+### Framework versions
+
+- Transformers 4.19.2
+- Pytorch 1.11.0+cu113
+- Datasets 2.2.2
+- Tokenizers 0.12.1