End of training

README.md

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+---
+base_model: ytu-ce-cosmos/turkish-base-bert-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: turkish_mmlu_base-bert-uncased
+  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_mmlu_base-bert-uncased
+
+This model is a fine-tuned version of [ytu-ce-cosmos/turkish-base-bert-uncased](https://huggingface.co/ytu-ce-cosmos/turkish-base-bert-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5043
+- Accuracy: 0.3119
+
+## 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: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 128
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 1.5725        | 0.9998 | 2063 | 1.5487          | 0.2739   |
+| 1.5254        | 1.9995 | 4126 | 1.5090          | 0.3057   |
+| 1.4895        | 2.9993 | 6189 | 1.5043          | 0.3119   |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1