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bert-base-multilingual-uncased-finetuned-ner-harem

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  1. README.md +15 -9
  2. model.safetensors +1 -1
  3. runs/Oct06_19-16-32_e6f3dbf6e674/events.out.tfevents.1728242901.e6f3dbf6e674.34.1 +3 -0
README.md CHANGED
@@ -20,11 +20,11 @@ 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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1550
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- - Precision: 0.7008
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- - Recall: 0.6539
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- - F1: 0.6765
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- - Accuracy: 0.9578
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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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- | No log | 1.0 | 282 | 0.2140 | 0.5822 | 0.6086 | 0.5951 | 0.9426 |
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- | 0.2576 | 2.0 | 564 | 0.1550 | 0.7008 | 0.6539 | 0.6765 | 0.9578 |
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- | 0.2576 | 3.0 | 846 | 0.1573 | 0.7420 | 0.7208 | 0.7312 | 0.9622 |
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- | 0.0827 | 4.0 | 1128 | 0.1640 | 0.7579 | 0.7399 | 0.7488 | 0.9622 |
 
 
 
 
 
 
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1861
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+ - Precision: 0.7833
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+ - Recall: 0.7589
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+ - F1: 0.7709
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+ - Accuracy: 0.9634
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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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+ | No log | 1.0 | 282 | 0.2275 | 0.5847 | 0.6014 | 0.5929 | 0.9378 |
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+ | 0.2687 | 2.0 | 564 | 0.1620 | 0.7389 | 0.6754 | 0.7057 | 0.9583 |
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+ | 0.2687 | 3.0 | 846 | 0.1395 | 0.7820 | 0.7446 | 0.7628 | 0.9659 |
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+ | 0.0845 | 4.0 | 1128 | 0.1694 | 0.7458 | 0.7351 | 0.7404 | 0.9586 |
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+ | 0.0845 | 5.0 | 1410 | 0.1861 | 0.7833 | 0.7589 | 0.7709 | 0.9634 |
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+ | 0.0398 | 6.0 | 1692 | 0.1821 | 0.7583 | 0.7637 | 0.7610 | 0.9639 |
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+ | 0.0398 | 7.0 | 1974 | 0.2303 | 0.7789 | 0.7064 | 0.7409 | 0.9595 |
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+ | 0.0203 | 8.0 | 2256 | 0.1912 | 0.7350 | 0.7876 | 0.7604 | 0.9629 |
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+ | 0.0109 | 9.0 | 2538 | 0.2304 | 0.7524 | 0.7613 | 0.7568 | 0.9595 |
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+ | 0.0109 | 10.0 | 2820 | 0.2457 | 0.7617 | 0.7399 | 0.7506 | 0.9622 |
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  ### Framework versions
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runs/Oct06_19-16-32_e6f3dbf6e674/events.out.tfevents.1728242901.e6f3dbf6e674.34.1 ADDED
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