End of training

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: clickbait_binary_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. -->
+
+# clickbait_binary_detection
+
+This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4630
+- Macro F1: 0.9155
+- Micro F1: 0.9215
+- Accuracy: 0.9215
+
+## 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-06
+- train_batch_size: 6
+- eval_batch_size: 10
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 12
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Macro F1 | Micro F1 | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|:--------:|
+| 0.2296        | 1.0   | 3650  | 0.2236          | 0.9105   | 0.9183   | 0.9183   |
+| 0.228         | 2.0   | 7301  | 0.2708          | 0.9115   | 0.9192   | 0.9192   |
+| 0.2075        | 3.0   | 10951 | 0.3141          | 0.9164   | 0.9224   | 0.9224   |
+| 0.1881        | 4.0   | 14602 | 0.3211          | 0.9143   | 0.9201   | 0.9201   |
+| 0.18          | 5.0   | 18252 | 0.3852          | 0.9130   | 0.9188   | 0.9188   |
+| 0.1818        | 6.0   | 21903 | 0.3784          | 0.9110   | 0.9174   | 0.9174   |
+| 0.1495        | 7.0   | 25553 | 0.4606          | 0.9106   | 0.9156   | 0.9156   |
+| 0.1453        | 8.0   | 29204 | 0.4630          | 0.9155   | 0.9215   | 0.9215   |
+
+
+### Framework versions
+
+- Transformers 4.27.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.9.0
+- Tokenizers 0.13.3

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special_tokens_map.json

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