update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: camembert_base_finetunned_one_thema_balanced_6_epochs
+  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_finetunned_one_thema_balanced_6_epochs
+
+This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7237
+
+## 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: 5e-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: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 116  | 2.3397          |
+| No log        | 2.0   | 232  | 2.0559          |
+| No log        | 3.0   | 348  | 1.8209          |
+| No log        | 4.0   | 464  | 1.7804          |
+| 1.9817        | 5.0   | 580  | 1.7323          |
+| 1.9817        | 6.0   | 696  | 1.7237          |
+
+
+### Framework versions
+
+- Transformers 4.29.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.12.0
+- Tokenizers 0.13.3