End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- Language
+- toxic-comment
+- Bert
+- PyTorch
+- Trainer
+- F1Score
+- HuggingFaceHub
+- generated_from_trainer
+metrics:
+- accuracy
+- recall
+- precision
+- f1
+model-index:
+- name: Bert-finetuned-toxic-comment-classification-v2
+  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. -->
+
+# Bert-finetuned-toxic-comment-classification-v2
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the toxic-comment-classification dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1438
+- Accuracy: 0.965
+- Recall: 0.7143
+- Precision: 0.9375
+- F1: 0.8108
+
+## 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: 6e-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
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | Precision | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.2792        | 1.0   | 100  | 0.2226          | 0.96     | 0.6190 | 1.0       | 0.7647 |
+| 0.154         | 2.0   | 200  | 0.1438          | 0.965    | 0.7143 | 0.9375    | 0.8108 |
+| 0.0488        | 3.0   | 300  | 0.2012          | 0.965    | 0.9524 | 0.7692    | 0.8511 |
+| 0.015         | 4.0   | 400  | 0.2588          | 0.955    | 0.7143 | 0.8333    | 0.7692 |
+| 0.0035        | 5.0   | 500  | 0.2444          | 0.965    | 0.7619 | 0.8889    | 0.8205 |
+| 0.0001        | 6.0   | 600  | 0.2524          | 0.965    | 0.7619 | 0.8889    | 0.8205 |
+| 0.0001        | 7.0   | 700  | 0.2580          | 0.965    | 0.7619 | 0.8889    | 0.8205 |
+| 0.0001        | 8.0   | 800  | 0.2621          | 0.965    | 0.7619 | 0.8889    | 0.8205 |
+| 0.0001        | 9.0   | 900  | 0.2646          | 0.965    | 0.7619 | 0.8889    | 0.8205 |
+| 0.0001        | 10.0  | 1000 | 0.2654          | 0.965    | 0.7619 | 0.8889    | 0.8205 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

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