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bert-base-multilingual-cased

Text Classification
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bert
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  1. README.md +23 -23
  2. model.safetensors +1 -1
  3. runs/Mar13_19-45-11_tardis/events.out.tfevents.1710356381.tardis.46540.3 +3 -0
README.md CHANGED
@@ -18,14 +18,14 @@ 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-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8104
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- - F1 Macro: 0.9046
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- - F1: 0.9361
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- - F1 Neg: 0.8731
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- - Acc: 0.915
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- - Prec: 0.9468
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- - Recall: 0.9257
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- - Mcc: 0.8097
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  ## Model description
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@@ -58,21 +58,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 | F1 Neg | Acc | Prec | Recall | Mcc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
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- | No log | 1.0 | 400 | 0.5310 | 0.7579 | 0.8675 | 0.6484 | 0.8075 | 0.7754 | 0.9844 | 0.5871 |
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- | 0.44 | 2.0 | 800 | 0.5080 | 0.8761 | 0.9176 | 0.8346 | 0.89 | 0.8813 | 0.9570 | 0.7588 |
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- | 0.296 | 3.0 | 1200 | 0.4352 | 0.8610 | 0.9010 | 0.8211 | 0.8725 | 0.8958 | 0.9062 | 0.7221 |
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- | 0.177 | 4.0 | 1600 | 0.4961 | 0.8677 | 0.9037 | 0.8316 | 0.8775 | 0.9091 | 0.8984 | 0.7355 |
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- | 0.0941 | 5.0 | 2000 | 0.6030 | 0.8872 | 0.9213 | 0.8530 | 0.8975 | 0.9057 | 0.9375 | 0.7754 |
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- | 0.0941 | 6.0 | 2400 | 0.6556 | 0.8839 | 0.9236 | 0.8441 | 0.8975 | 0.8826 | 0.9688 | 0.7765 |
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- | 0.0615 | 7.0 | 2800 | 0.6839 | 0.8852 | 0.9142 | 0.8562 | 0.8925 | 0.9347 | 0.8945 | 0.7719 |
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- | 0.0436 | 8.0 | 3200 | 0.6418 | 0.8938 | 0.9283 | 0.8593 | 0.905 | 0.8978 | 0.9609 | 0.7920 |
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- | 0.0288 | 9.0 | 3600 | 0.7248 | 0.8908 | 0.9266 | 0.8550 | 0.9025 | 0.8945 | 0.9609 | 0.7866 |
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- | 0.0137 | 10.0 | 4000 | 0.8190 | 0.8889 | 0.9198 | 0.8581 | 0.8975 | 0.9216 | 0.9180 | 0.7779 |
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- | 0.0137 | 11.0 | 4400 | 0.7969 | 0.8937 | 0.9243 | 0.8632 | 0.9025 | 0.9189 | 0.9297 | 0.7875 |
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- | 0.0033 | 12.0 | 4800 | 0.9380 | 0.8839 | 0.9236 | 0.8441 | 0.8975 | 0.8826 | 0.9688 | 0.7765 |
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- | 0.0003 | 13.0 | 5200 | 0.8792 | 0.8940 | 0.9240 | 0.8641 | 0.9025 | 0.9222 | 0.9258 | 0.7881 |
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- | 0.0 | 14.0 | 5600 | 0.8880 | 0.8998 | 0.9276 | 0.8720 | 0.9075 | 0.9294 | 0.9258 | 0.7996 |
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- | 0.0042 | 15.0 | 6000 | 0.8816 | 0.8972 | 0.9255 | 0.8690 | 0.905 | 0.9291 | 0.9219 | 0.7945 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3146
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+ - F1 Macro: 0.8469
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+ - F1: 0.8821
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+ - F1 Neg: 0.8117
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+ - Acc: 0.855
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+ - Prec: 0.9079
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+ - Recall: 0.8577
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+ - Mcc: 0.6961
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 | F1 Neg | Acc | Prec | Recall | Mcc |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
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+ | No log | 1.0 | 400 | 0.5484 | 0.7319 | 0.8512 | 0.6126 | 0.785 | 0.7593 | 0.9685 | 0.5329 |
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+ | 0.4785 | 2.0 | 800 | 0.5584 | 0.8144 | 0.8799 | 0.7490 | 0.8375 | 0.8293 | 0.9370 | 0.6431 |
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+ | 0.3306 | 3.0 | 1200 | 0.6227 | 0.8174 | 0.8699 | 0.7649 | 0.8325 | 0.8582 | 0.8819 | 0.6354 |
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+ | 0.2531 | 4.0 | 1600 | 0.8030 | 0.8127 | 0.8773 | 0.7481 | 0.835 | 0.8310 | 0.9291 | 0.6370 |
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+ | 0.1264 | 5.0 | 2000 | 0.8665 | 0.8175 | 0.8740 | 0.7609 | 0.835 | 0.8481 | 0.9016 | 0.6381 |
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+ | 0.1264 | 6.0 | 2400 | 0.8824 | 0.8180 | 0.8776 | 0.7584 | 0.8375 | 0.8412 | 0.9173 | 0.6426 |
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+ | 0.0643 | 7.0 | 2800 | 1.1166 | 0.8279 | 0.8821 | 0.7737 | 0.845 | 0.8529 | 0.9134 | 0.6599 |
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+ | 0.0526 | 8.0 | 3200 | 1.2699 | 0.7936 | 0.8741 | 0.7131 | 0.825 | 0.8046 | 0.9567 | 0.6185 |
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+ | 0.0266 | 9.0 | 3600 | 1.2158 | 0.8247 | 0.8764 | 0.7730 | 0.84 | 0.8598 | 0.8937 | 0.6507 |
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+ | 0.0131 | 10.0 | 4000 | 1.2718 | 0.8288 | 0.8772 | 0.7805 | 0.8425 | 0.8687 | 0.8858 | 0.6580 |
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+ | 0.0131 | 11.0 | 4400 | 1.3405 | 0.8335 | 0.8859 | 0.7810 | 0.85 | 0.8566 | 0.9173 | 0.6710 |
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+ | 0.0087 | 12.0 | 4800 | 1.3709 | 0.8298 | 0.8847 | 0.7749 | 0.8475 | 0.8509 | 0.9213 | 0.6652 |
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+ | 0.0078 | 13.0 | 5200 | 1.3145 | 0.8387 | 0.8859 | 0.7915 | 0.8525 | 0.8707 | 0.9016 | 0.6784 |
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+ | 0.0036 | 14.0 | 5600 | 1.4501 | 0.8198 | 0.8801 | 0.7594 | 0.84 | 0.8393 | 0.9252 | 0.6482 |
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+ | 0.0049 | 15.0 | 6000 | 1.4557 | 0.8254 | 0.8839 | 0.7669 | 0.845 | 0.8429 | 0.9291 | 0.6595 |
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  ### Framework versions
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runs/Mar13_19-45-11_tardis/events.out.tfevents.1710356381.tardis.46540.3 ADDED
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