Model save

README.md

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+---
+base_model: camembert/camembert-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: classifier-camembert
+  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. -->
+
+# classifier-camembert
+
+This model is a fine-tuned version of [camembert/camembert-base](https://huggingface.co/camembert/camembert-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0009
+- Accuracy: 1.0
+
+## 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: 0.0002
+- 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
+- training_steps: 400
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1022        | 20.0  | 100  | 0.0008          | 1.0      |
+| 0.006         | 40.0  | 200  | 0.0007          | 1.0      |
+| 0.0223        | 60.0  | 300  | 0.0020          | 1.0      |
+| 0.0058        | 80.0  | 400  | 0.0009          | 1.0      |
+
+
+### Framework versions
+
+- Transformers 4.39.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2