update model card README.md

README.md

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+---
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: camembert-base-finetuned-sentence-simplification-fr
+  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-sentence-simplification-fr
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7620
+- Rouge1: 43.3685
+- Rouge2: 21.9134
+- Rougel: 40.2798
+- Rougelsum: 43.3935
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 5.6307        | 1.0   | 167  | 1.6589          | 17.9154 | 4.5628  | 17.3823 | 17.9298   |
+| 1.5548        | 2.0   | 334  | 0.8930          | 37.8352 | 17.9295 | 35.5132 | 37.8323   |
+| 1.1204        | 3.0   | 501  | 0.7620          | 43.3685 | 21.9134 | 40.2798 | 43.3935   |
+
+
+### Framework versions
+
+- Transformers 4.23.1
+- Pytorch 1.12.1+cu102
+- Datasets 2.6.1
+- Tokenizers 0.13.1