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-Age
+  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-Age
+
+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: 0.4642
+- F1: 0.7254
+- Roc Auc: 0.7940
+- Accuracy: 0.7249
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| 0.4564        | 1.0   | 965  | 0.4642          | 0.7254 | 0.7940  | 0.7254   |
+| 0.4443        | 2.0   | 1930 | 0.4662          | 0.7254 | 0.7940  | 0.7254   |
+| 0.4388        | 3.0   | 2895 | 0.4628          | 0.7254 | 0.7940  | 0.7254   |
+| 0.4486        | 4.0   | 3860 | 0.4642          | 0.7254 | 0.7940  | 0.7249   |
+| 0.4287        | 5.0   | 4825 | 0.4958          | 0.7214 | 0.7907  | 0.7150   |
+| 0.4055        | 6.0   | 5790 | 0.5325          | 0.6961 | 0.7715  | 0.6782   |
+| 0.3514        | 7.0   | 6755 | 0.5588          | 0.6586 | 0.7443  | 0.6223   |
+| 0.3227        | 8.0   | 7720 | 0.5944          | 0.6625 | 0.7470  | 0.6295   |
+
+
+### Framework versions
+
+- Transformers 4.19.2
+- Pytorch 1.11.0+cu113
+- Datasets 2.2.2
+- Tokenizers 0.12.1