End of training

README.md

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+---
+license: mit
+base_model: microsoft/deberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: deberta-base-clickbait-post-content-200
+  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. -->
+
+# deberta-base-clickbait-post-content-200
+
+This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8678
+- Accuracy: 0.74
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 200  | 0.7607          | 0.66     |
+| No log        | 2.0   | 400  | 0.6765          | 0.735    |
+| 0.7461        | 3.0   | 600  | 0.7431          | 0.715    |
+| 0.7461        | 4.0   | 800  | 0.7622          | 0.7575   |
+| 0.3037        | 5.0   | 1000 | 0.8678          | 0.74     |
+
+
+### Framework versions
+
+- Transformers 4.44.0.dev0
+- Pytorch 2.4.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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