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SoDehghan
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test-push-to-hf

Text Classification
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Safetensors
bert
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Training in progress, step 275

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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Nov26_17-54-34_dde002542bbe/events.out.tfevents.1732643674.dde002542bbe.26441.4 +3 -0
  4. runs/Nov26_17-58-30_dde002542bbe/events.out.tfevents.1732643911.dde002542bbe.26441.5 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -8,21 +8,21 @@ metrics:
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  - f1
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  - accuracy
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  model-index:
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- - name: test-push-to-hf
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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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- # test-push-to-hf
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  This model is a fine-tuned version of [dbmdz/bert-base-turkish-uncased](https://huggingface.co/dbmdz/bert-base-turkish-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3356
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- - F1: 0.7518
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- - Roc Auc: 0.8156
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- - Accuracy: 0.6175
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  ## Model description
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@@ -53,8 +53,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:-------:|:--------:|
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- | 0.2475 | 0.3636 | 100 | 0.3319 | 0.7490 | 0.8132 | 0.6148 |
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- | 0.2362 | 0.7273 | 200 | 0.3356 | 0.7518 | 0.8156 | 0.6175 |
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  ### Framework versions
 
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  - f1
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  - accuracy
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  model-index:
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+ - name: MyHateSpeechDetection
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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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+ # MyHateSpeechDetection
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  This model is a fine-tuned version of [dbmdz/bert-base-turkish-uncased](https://huggingface.co/dbmdz/bert-base-turkish-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3951
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+ - F1: 0.7481
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+ - Roc Auc: 0.8138
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+ - Accuracy: 0.6111
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:-------:|:--------:|
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+ | 0.1319 | 0.3636 | 100 | 0.4029 | 0.7428 | 0.8106 | 0.6020 |
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+ | 0.1821 | 0.7273 | 200 | 0.3951 | 0.7481 | 0.8138 | 0.6111 |
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  ### Framework versions
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