End of training
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README.md
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base_model: dbmdz/bert-base-turkish-cased
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tags:
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- generated_from_trainer
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model-index:
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- name: bert-base-turkish-finetuned-nli
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results: []
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# bert-base-turkish-finetuned-nli
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This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on the None dataset.
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.
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base_model: dbmdz/bert-base-turkish-cased
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: bert-base-turkish-finetuned-nli
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results: []
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# bert-base-turkish-finetuned-nli
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This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7783
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- Accuracy: 0.7139
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 0.7383 | 1.0 | 4594 | 0.7102 | 0.6962 |
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| 0.6036 | 2.0 | 9188 | 0.7032 | 0.7134 |
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| 0.4428 | 3.0 | 13782 | 0.7783 | 0.7139 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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runs/Jan29_10-15-30_a4818fc31208/events.out.tfevents.1706530943.a4818fc31208.705.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:85117578fbad829173076841ce5a09a87d1ea582488ec9848dc10b15758794e7
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size 411
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