ayla_ozetler3006_bertuncased_2024

README.md

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+---
+license: mit
+base_model: dbmdz/bert-base-turkish-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: ayla_ozetler3006_bertuncased_2024
+  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. -->
+
+# ayla_ozetler3006_bertuncased_2024
+
+This model is a fine-tuned version of [dbmdz/bert-base-turkish-uncased](https://huggingface.co/dbmdz/bert-base-turkish-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2438
+- Accuracy: 0.9167
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.8163        | 1.0   | 10   | 1.7453          | 0.2      |
+| 1.5027        | 2.0   | 20   | 1.1183          | 0.6741   |
+| 0.8506        | 3.0   | 30   | 0.5805          | 0.8130   |
+| 0.4512        | 4.0   | 40   | 0.4143          | 0.8296   |
+| 0.2935        | 5.0   | 50   | 0.3245          | 0.8889   |
+| 0.2011        | 6.0   | 60   | 0.2905          | 0.8889   |
+| 0.1404        | 7.0   | 70   | 0.2802          | 0.9      |
+| 0.0942        | 8.0   | 80   | 0.2509          | 0.9259   |
+| 0.0653        | 9.0   | 90   | 0.2402          | 0.9204   |
+| 0.0536        | 10.0  | 100  | 0.2438          | 0.9167   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.0

emissions.csv

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