update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: distilbert-profane-final
+  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. -->
+
+# distilbert-profane-final
+
+This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2773
+- Accuracy: 0.8992
+- Precision: 0.8261
+- Recall: 0.7987
+- F1: 0.8114
+
+## 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: 1e-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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 296  | 0.2862          | 0.8907   | 0.8230    | 0.7528 | 0.7807 |
+| 0.3379        | 2.0   | 592  | 0.2650          | 0.9097   | 0.8748    | 0.7778 | 0.8148 |
+| 0.3379        | 3.0   | 888  | 0.2632          | 0.9049   | 0.8417    | 0.7999 | 0.8185 |
+| 0.221         | 4.0   | 1184 | 0.2772          | 0.8916   | 0.8055    | 0.8055 | 0.8055 |
+| 0.221         | 5.0   | 1480 | 0.2773          | 0.8992   | 0.8261    | 0.7987 | 0.8114 |
+
+
+### Framework versions
+
+- Transformers 4.24.0.dev0
+- Pytorch 1.11.0+cu102
+- Datasets 2.6.1
+- Tokenizers 0.13.1