update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+model-index:
+- name: distilcamembert-cae-no-territory
+  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. -->
+
+# distilcamembert-cae-no-territory
+
+This model is a fine-tuned version of [cmarkea/distilcamembert-base](https://huggingface.co/cmarkea/distilcamembert-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6885
+- Precision: 0.7873
+- Recall: 0.7848
+- F1: 0.7855
+
+## 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
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
+| 1.1796        | 1.0   | 40   | 0.9743          | 0.5640    | 0.4937 | 0.3731 |
+| 0.8788        | 2.0   | 80   | 0.8037          | 0.7438    | 0.6709 | 0.6472 |
+| 0.4982        | 3.0   | 120  | 0.7692          | 0.8264    | 0.7089 | 0.7558 |
+| 0.2865        | 4.0   | 160  | 0.7676          | 0.7498    | 0.7215 | 0.7192 |
+| 0.1502        | 5.0   | 200  | 0.6885          | 0.7873    | 0.7848 | 0.7855 |
+
+
+### Framework versions
+
+- Transformers 4.24.0
+- Pytorch 1.12.1+cu113
+- Datasets 2.7.1
+- Tokenizers 0.13.2