End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: distilbert/distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: ai-chat-censor
+  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. -->
+
+# ai-chat-censor
+
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1202
+- Accuracy: 0.9879
+
+## 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: 16
+- eval_batch_size: 16
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1279        | 1.0   | 1636 | 0.0890          | 0.9832   |
+| 0.0743        | 2.0   | 3272 | 0.1128          | 0.9861   |
+| 0.0373        | 3.0   | 4908 | 0.1098          | 0.9878   |
+| 0.007         | 4.0   | 6544 | 0.1353          | 0.9886   |
+| 0.0018        | 5.0   | 8180 | 0.1202          | 0.9879   |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.3.1
+- Datasets 3.0.1
+- Tokenizers 0.20.1

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