update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: camembert-base-finetuned-mixte-symbole-dd
+  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. -->
+
+# camembert-base-finetuned-mixte-symbole-dd
+
+This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3576
+- Precision: 0.8788
+- Recall: 0.8986
+- F1: 0.8886
+- Accuracy: 0.9230
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.1977        | 1.0   | 4322  | 0.2256          | 0.8388    | 0.8980 | 0.8674 | 0.9240   |
+| 0.1498        | 2.0   | 8644  | 0.2765          | 0.8666    | 0.8916 | 0.8789 | 0.9235   |
+| 0.1085        | 3.0   | 12966 | 0.2945          | 0.8666    | 0.9028 | 0.8844 | 0.9211   |
+| 0.0775        | 4.0   | 17288 | 0.3181          | 0.8735    | 0.9015 | 0.8873 | 0.9226   |
+| 0.0605        | 5.0   | 21610 | 0.3576          | 0.8788    | 0.8986 | 0.8886 | 0.9230   |
+
+
+### Framework versions
+
+- Transformers 4.21.1
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1