update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- recall
+model-index:
+- name: camembert-base-finetuned-LineCause
+  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-LineCause
+
+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: 0.0001
+- Accuracy: 1.0
+- F1: 1.0
+- Recall: 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: 2e-05
+- train_batch_size: 50
+- eval_batch_size: 50
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1  | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|:------:|
+| 0.0428        | 1.0   | 4409 | 0.0002          | 1.0      | 1.0 | 1.0    |
+| 0.0009        | 2.0   | 8818 | 0.0001          | 1.0      | 1.0 | 1.0    |
+
+
+### Framework versions
+
+- Transformers 4.19.3
+- Pytorch 1.11.0+cu113
+- Datasets 2.2.2
+- Tokenizers 0.12.1