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-uncased-finetuned-toxic-comments-detection
+  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-uncased-finetuned-toxic-comments-detection
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1520
+- Accuracy: 0.95
+- Precision: 0.7391
+- Recall: 0.8095
+- F1: 0.7727
+
+## 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: 16
+- eval_batch_size: 8
+- 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.3892        | 1.0   | 50   | 0.2808          | 0.895    | 0.0       | 0.0    | 0.0    |
+| 0.219         | 2.0   | 100  | 0.1732          | 0.93     | 0.8182    | 0.4286 | 0.5625 |
+| 0.1313        | 3.0   | 150  | 0.1515          | 0.95     | 0.7391    | 0.8095 | 0.7727 |
+| 0.0924        | 4.0   | 200  | 0.1520          | 0.95     | 0.7391    | 0.8095 | 0.7727 |
+| 0.0749        | 5.0   | 250  | 0.1540          | 0.96     | 0.8095    | 0.8095 | 0.8095 |
+
+
+### Framework versions
+
+- Transformers 4.30.1
+- Pytorch 2.0.1+cu118
+- Tokenizers 0.13.3