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mtl-dev/allergy_check_bert_turk_v1

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  1. README.md +8 -6
  2. model.safetensors +1 -1
  3. tokenizer.json +2 -16
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3414
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- - Accuracy: 0.8993
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  ## Model description
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@@ -44,16 +44,18 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 3
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  - mixed_precision_training: Native AMP
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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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- | 0.6158 | 1.0 | 135 | 0.3815 | 0.8806 |
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- | 0.3324 | 2.0 | 270 | 0.3739 | 0.8881 |
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- | 0.2554 | 3.0 | 405 | 0.3414 | 0.8993 |
 
 
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  ### Framework versions
 
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3577
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+ - Accuracy: 0.8955
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  ## Model description
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 5
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  - mixed_precision_training: Native AMP
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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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+ | 0.7828 | 1.0 | 135 | 0.3802 | 0.8843 |
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+ | 0.3478 | 2.0 | 270 | 0.3407 | 0.8955 |
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+ | 0.2755 | 3.0 | 405 | 0.3109 | 0.8993 |
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+ | 0.191 | 4.0 | 540 | 0.3558 | 0.8955 |
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+ | 0.1216 | 5.0 | 675 | 0.3577 | 0.8955 |
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  ### Framework versions
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