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End of training

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  1. README.md +52 -52
  2. model.safetensors +1 -1
  3. runs/Aug05_09-44-11_0e3db811b885/events.out.tfevents.1722851052.0e3db811b885.16757.1 +2 -2
README.md CHANGED
@@ -17,8 +17,8 @@ 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: 0.9487
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- - F1: 0.8436
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  ## Model description
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@@ -49,56 +49,56 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 1.1122 | 1.0 | 24 | 0.7519 | 0.6554 |
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- | 0.5819 | 2.0 | 48 | 0.5484 | 0.7933 |
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- | 0.3705 | 3.0 | 72 | 0.6053 | 0.7943 |
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- | 0.2008 | 4.0 | 96 | 0.6122 | 0.7738 |
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- | 0.1269 | 5.0 | 120 | 0.6757 | 0.8166 |
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- | 0.1099 | 6.0 | 144 | 0.5781 | 0.8211 |
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- | 0.0669 | 7.0 | 168 | 0.5986 | 0.8272 |
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- | 0.089 | 8.0 | 192 | 0.7677 | 0.8258 |
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- | 0.057 | 9.0 | 216 | 0.7688 | 0.8006 |
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- | 0.0429 | 10.0 | 240 | 0.6922 | 0.8328 |
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- | 0.0417 | 11.0 | 264 | 0.8658 | 0.8200 |
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- | 0.0265 | 12.0 | 288 | 0.8817 | 0.8225 |
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- | 0.0091 | 13.0 | 312 | 0.9537 | 0.8262 |
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- | 0.0029 | 14.0 | 336 | 1.0018 | 0.8396 |
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- | 0.0059 | 15.0 | 360 | 1.0184 | 0.8291 |
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- | 0.0148 | 16.0 | 384 | 0.9641 | 0.8460 |
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- | 0.0267 | 17.0 | 408 | 1.0486 | 0.8191 |
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- | 0.0159 | 18.0 | 432 | 0.9946 | 0.8335 |
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- | 0.0155 | 19.0 | 456 | 1.0898 | 0.8357 |
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- | 0.0356 | 20.0 | 480 | 1.0270 | 0.8321 |
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- | 0.0208 | 21.0 | 504 | 1.0715 | 0.7887 |
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- | 0.025 | 22.0 | 528 | 0.8658 | 0.8338 |
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- | 0.0035 | 23.0 | 552 | 1.0828 | 0.8241 |
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- | 0.0019 | 24.0 | 576 | 1.1156 | 0.8217 |
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- | 0.0016 | 25.0 | 600 | 1.0412 | 0.8309 |
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- | 0.0035 | 26.0 | 624 | 1.1120 | 0.8097 |
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- | 0.0132 | 27.0 | 648 | 1.0294 | 0.8340 |
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- | 0.0109 | 28.0 | 672 | 0.9653 | 0.8380 |
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- | 0.0045 | 29.0 | 696 | 0.8896 | 0.8564 |
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- | 0.0049 | 30.0 | 720 | 1.0230 | 0.8542 |
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- | 0.0067 | 31.0 | 744 | 0.9482 | 0.8478 |
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- | 0.0011 | 32.0 | 768 | 0.9710 | 0.8538 |
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- | 0.0002 | 33.0 | 792 | 0.9857 | 0.8291 |
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- | 0.0002 | 34.0 | 816 | 0.9314 | 0.8576 |
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- | 0.0003 | 35.0 | 840 | 0.9794 | 0.8415 |
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- | 0.0001 | 36.0 | 864 | 0.9955 | 0.8438 |
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- | 0.0001 | 37.0 | 888 | 1.0120 | 0.8438 |
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- | 0.0001 | 38.0 | 912 | 1.0101 | 0.8438 |
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- | 0.0001 | 39.0 | 936 | 1.0038 | 0.8438 |
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- | 0.0001 | 40.0 | 960 | 1.0033 | 0.8388 |
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- | 0.0001 | 41.0 | 984 | 1.0037 | 0.8388 |
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- | 0.0001 | 42.0 | 1008 | 1.0051 | 0.8388 |
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- | 0.0001 | 43.0 | 1032 | 1.0058 | 0.8388 |
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- | 0.0001 | 44.0 | 1056 | 1.0073 | 0.8388 |
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- | 0.0002 | 45.0 | 1080 | 0.9981 | 0.8436 |
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- | 0.0001 | 46.0 | 1104 | 0.9494 | 0.8436 |
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- | 0.0001 | 47.0 | 1128 | 0.9478 | 0.8436 |
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- | 0.0001 | 48.0 | 1152 | 0.9481 | 0.8436 |
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- | 0.0001 | 49.0 | 1176 | 0.9486 | 0.8436 |
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- | 0.0001 | 50.0 | 1200 | 0.9487 | 0.8436 |
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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: 1.1836
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+ - F1: 0.8284
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 1.0833 | 1.0 | 24 | 0.6880 | 0.6592 |
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+ | 0.5737 | 2.0 | 48 | 0.5213 | 0.8235 |
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+ | 0.3165 | 3.0 | 72 | 0.5841 | 0.7939 |
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+ | 0.2087 | 4.0 | 96 | 0.6425 | 0.7846 |
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+ | 0.1377 | 5.0 | 120 | 0.7989 | 0.7536 |
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+ | 0.0835 | 6.0 | 144 | 0.7516 | 0.8257 |
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+ | 0.0963 | 7.0 | 168 | 0.7099 | 0.8243 |
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+ | 0.0558 | 8.0 | 192 | 0.7994 | 0.7905 |
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+ | 0.0389 | 9.0 | 216 | 0.7475 | 0.8494 |
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+ | 0.057 | 10.0 | 240 | 0.7741 | 0.8265 |
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+ | 0.0435 | 11.0 | 264 | 1.1178 | 0.7826 |
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+ | 0.0458 | 12.0 | 288 | 0.9156 | 0.7847 |
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+ | 0.033 | 13.0 | 312 | 0.9355 | 0.8198 |
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+ | 0.0556 | 14.0 | 336 | 0.9090 | 0.8152 |
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+ | 0.0139 | 15.0 | 360 | 0.9933 | 0.7950 |
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+ | 0.0137 | 16.0 | 384 | 1.1050 | 0.7889 |
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+ | 0.0173 | 17.0 | 408 | 1.1387 | 0.7836 |
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+ | 0.0221 | 18.0 | 432 | 1.0860 | 0.8072 |
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+ | 0.0206 | 19.0 | 456 | 1.0689 | 0.8120 |
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+ | 0.0125 | 20.0 | 480 | 0.9927 | 0.8087 |
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+ | 0.0034 | 21.0 | 504 | 1.1213 | 0.7919 |
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+ | 0.0052 | 22.0 | 528 | 1.2096 | 0.7969 |
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+ | 0.0005 | 23.0 | 552 | 1.1544 | 0.8132 |
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+ | 0.0004 | 24.0 | 576 | 1.1947 | 0.8143 |
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+ | 0.0017 | 25.0 | 600 | 1.2692 | 0.7957 |
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+ | 0.0003 | 26.0 | 624 | 1.2705 | 0.7981 |
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+ | 0.0004 | 27.0 | 648 | 1.4028 | 0.7617 |
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+ | 0.0003 | 28.0 | 672 | 1.2183 | 0.8193 |
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+ | 0.0038 | 29.0 | 696 | 1.2414 | 0.8106 |
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+ | 0.0002 | 30.0 | 720 | 1.3012 | 0.8022 |
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+ | 0.0008 | 31.0 | 744 | 1.1945 | 0.8120 |
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+ | 0.0002 | 32.0 | 768 | 1.1859 | 0.8125 |
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+ | 0.0002 | 33.0 | 792 | 1.1988 | 0.8078 |
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+ | 0.0004 | 34.0 | 816 | 1.2846 | 0.8144 |
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+ | 0.0016 | 35.0 | 840 | 1.2518 | 0.8121 |
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+ | 0.0002 | 36.0 | 864 | 1.2062 | 0.8254 |
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+ | 0.0002 | 37.0 | 888 | 1.2049 | 0.8197 |
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+ | 0.0002 | 38.0 | 912 | 1.2056 | 0.8254 |
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+ | 0.0001 | 39.0 | 936 | 1.2062 | 0.8254 |
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+ | 0.0001 | 40.0 | 960 | 1.1666 | 0.8378 |
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+ | 0.0001 | 41.0 | 984 | 1.1612 | 0.8378 |
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+ | 0.0001 | 42.0 | 1008 | 1.1614 | 0.8378 |
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+ | 0.0001 | 43.0 | 1032 | 1.1739 | 0.8277 |
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+ | 0.0001 | 44.0 | 1056 | 1.1778 | 0.8277 |
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+ | 0.0001 | 45.0 | 1080 | 1.1808 | 0.8284 |
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+ | 0.0001 | 46.0 | 1104 | 1.1816 | 0.8284 |
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+ | 0.0001 | 47.0 | 1128 | 1.1825 | 0.8284 |
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+ | 0.0001 | 48.0 | 1152 | 1.1833 | 0.8284 |
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+ | 0.0001 | 49.0 | 1176 | 1.1836 | 0.8284 |
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+ | 0.0001 | 50.0 | 1200 | 1.1836 | 0.8284 |
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  ### Framework versions
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