Model save
Browse files- README.md +68 -0
- model.safetensors +1 -1
README.md
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---
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license: mit
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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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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: bert-base-turkish-cased-finetuned-ner
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# bert-base-turkish-cased-finetuned-ner
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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: 0.1609
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- Precision: 0.9074
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- Recall: 0.9232
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- F1: 0.9152
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- Accuracy: 0.9618
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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 | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 0.2227 | 1.0 | 1250 | 0.1614 | 0.8848 | 0.9046 | 0.8946 | 0.9537 |
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| 0.1229 | 2.0 | 2500 | 0.1599 | 0.9020 | 0.9191 | 0.9105 | 0.9594 |
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| 0.0778 | 3.0 | 3750 | 0.1609 | 0.9074 | 0.9232 | 0.9152 | 0.9618 |
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### Framework versions
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- Transformers 4.36.0.dev0
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- Pytorch 2.1.1+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 440194956
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version https://git-lfs.github.com/spec/v1
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size 440194956
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