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bert-base-multilingual-uncased-thesis_arian

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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. runs/Apr22_15-48-01_beb79644147f/events.out.tfevents.1713800882.beb79644147f.2780.0 +2 -2
README.md CHANGED
@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1484
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- - Accuracy: 0.9785
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- - Macro f1 score: 0.9785
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro f1 score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------------:|
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- | 0.2323 | 1.0 | 102 | 0.1387 | 0.9677 | 0.9677 |
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- | 0.1666 | 2.0 | 204 | 0.1031 | 0.9677 | 0.9677 |
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- | 0.0862 | 3.0 | 306 | 0.2325 | 0.9462 | 0.9462 |
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- | 0.0623 | 4.0 | 408 | 0.1500 | 0.9656 | 0.9656 |
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- | 0.0248 | 5.0 | 510 | 0.1327 | 0.9785 | 0.9785 |
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- | 0.0136 | 6.0 | 612 | 0.1797 | 0.9699 | 0.9699 |
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- | 0.0069 | 7.0 | 714 | 0.1453 | 0.9785 | 0.9785 |
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- | 0.0057 | 8.0 | 816 | 0.1484 | 0.9785 | 0.9785 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1946
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+ - Accuracy: 0.9677
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+ - Macro f1 score: 0.9677
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro f1 score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------------:|
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+ | 0.216 | 1.0 | 102 | 0.2649 | 0.9097 | 0.9094 |
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+ | 0.1246 | 2.0 | 204 | 0.1364 | 0.9398 | 0.9398 |
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+ | 0.0888 | 3.0 | 306 | 0.1634 | 0.9462 | 0.9462 |
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+ | 0.0522 | 4.0 | 408 | 0.1550 | 0.9656 | 0.9656 |
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+ | 0.0227 | 5.0 | 510 | 0.2073 | 0.9591 | 0.9591 |
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+ | 0.0065 | 6.0 | 612 | 0.2140 | 0.9677 | 0.9677 |
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+ | 0.0028 | 7.0 | 714 | 0.2005 | 0.9656 | 0.9656 |
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+ | 0.0017 | 8.0 | 816 | 0.1946 | 0.9677 | 0.9677 |
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  ### Framework versions
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