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TurkishBERTweet

Token Classification
Transformers
Safetensors
roberta
Generated from Trainer
Inference Endpoints
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End of training

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  1. README.md +10 -13
  2. model.safetensors +1 -1
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [VRLLab/TurkishBERTweet](https://huggingface.co/VRLLab/TurkishBERTweet) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1263
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- - Precision: 0.8113
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- - Recall: 0.6244
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- - F1: 0.7057
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- - Accuracy: 0.9640
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.1849 | 1.0 | 230 | 0.1457 | 0.9188 | 0.6041 | 0.7289 | 0.9706 |
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- | 0.1753 | 2.0 | 460 | 0.1303 | 0.9158 | 0.6447 | 0.7567 | 0.9730 |
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- | 0.1333 | 3.0 | 690 | 0.1369 | 0.9158 | 0.6447 | 0.7567 | 0.9730 |
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- | 0.123 | 4.0 | 920 | 0.1316 | 0.9439 | 0.7020 | 0.8051 | 0.9773 |
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- | 0.0913 | 5.0 | 1150 | 0.1188 | 0.8717 | 0.7518 | 0.8073 | 0.9768 |
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- | 0.0733 | 6.0 | 1380 | 0.1372 | 0.9440 | 0.7443 | 0.8323 | 0.9800 |
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- | 0.0359 | 7.0 | 1610 | 0.1484 | 0.8975 | 0.7251 | 0.8021 | 0.9768 |
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- | 0.0339 | 8.0 | 1840 | 0.1595 | 0.8887 | 0.7704 | 0.8253 | 0.9787 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [VRLLab/TurkishBERTweet](https://huggingface.co/VRLLab/TurkishBERTweet) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1403
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+ - Precision: 0.5373
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+ - Recall: 0.3243
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+ - F1: 0.4045
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+ - Accuracy: 0.9629
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.1645 | 1.0 | 230 | 0.1246 | 0.1988 | 0.375 | 0.2598 | 0.9565 |
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+ | 0.1285 | 2.0 | 460 | 0.1091 | 0.3077 | 0.4091 | 0.3512 | 0.9706 |
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+ | 0.0771 | 3.0 | 690 | 0.1623 | 0.5397 | 0.3864 | 0.4503 | 0.9751 |
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+ | 0.0535 | 4.0 | 920 | 0.1468 | 0.4521 | 0.375 | 0.4099 | 0.9750 |
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+ | 0.0331 | 5.0 | 1150 | 0.1831 | 0.4333 | 0.4432 | 0.4382 | 0.9743 |
 
 
 
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  ### Framework versions
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