Entraînement terminé, ajout du modèle final.

README.md

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+---
+library_name: transformers
+license: mit
+base_model: almanach/camembert-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: bert-small-paragraph-classifier
+  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-small-paragraph-classifier
+
+This model is a fine-tuned version of [almanach/camembert-base](https://huggingface.co/almanach/camembert-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0749
+- Accuracy: 0.9836
+- Precision: 0.9848
+- Recall: 0.9833
+- F1: 0.9833
+
+## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 35   | 1.4928          | 0.9672   | 0.9697    | 0.9667 | 0.9656 |
+| No log        | 2.0   | 70   | 1.1711          | 0.9672   | 0.9697    | 0.9667 | 0.9656 |
+| No log        | 3.0   | 105  | 1.0749          | 0.9836   | 0.9848    | 0.9833 | 0.9833 |
+
+
+### Framework versions
+
+- Transformers 4.53.1
+- Pytorch 2.7.1
+- Datasets 3.6.0
+- Tokenizers 0.21.2

model.safetensors

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