End of training

README.md

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+---
+license: mit
+base_model: VRLLab/TurkishBERTweet
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: turkish_sentiment3
+  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. -->
+
+# turkish_sentiment3
+
+This model is a fine-tuned version of [VRLLab/TurkishBERTweet](https://huggingface.co/VRLLab/TurkishBERTweet) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0155
+- Accuracy: 0.9972
+
+## 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: 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 440  | 0.0516          | 0.9926   |
+| 0.1392        | 2.0   | 880  | 0.0242          | 0.9966   |
+| 0.0443        | 3.0   | 1320 | 0.0155          | 0.9972   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0