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ltg_norbert3-small

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  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [ltg/norbert3-small](https://huggingface.co/ltg/norbert3-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0914
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  ## Model description
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@@ -51,24 +51,57 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 10.4572 | 0.1953 | 100 | 4.5813 |
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- | 3.311 | 0.3906 | 200 | 1.5199 |
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- | 1.8218 | 0.5859 | 300 | 0.8342 |
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- | 1.302 | 0.7812 | 400 | 0.5723 |
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- | 0.9824 | 0.9766 | 500 | 0.4475 |
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- | 0.7929 | 1.1719 | 600 | 0.3500 |
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- | 0.6639 | 1.3672 | 700 | 0.2900 |
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- | 0.5494 | 1.5625 | 800 | 0.2489 |
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- | 0.4387 | 1.7578 | 900 | 0.2161 |
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- | 0.4046 | 1.9531 | 1000 | 0.1890 |
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- | 0.3816 | 2.1484 | 1100 | 0.1726 |
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- | 0.3703 | 2.3438 | 1200 | 0.1518 |
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- | 0.3123 | 2.5391 | 1300 | 0.1424 |
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- | 0.2809 | 2.7344 | 1400 | 0.1280 |
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- | 0.263 | 2.9297 | 1500 | 0.1180 |
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- | 0.2458 | 3.125 | 1600 | 0.1073 |
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- | 0.2254 | 3.3203 | 1700 | 0.1013 |
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- | 0.2272 | 3.5156 | 1800 | 0.0942 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [ltg/norbert3-small](https://huggingface.co/ltg/norbert3-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0244
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 10.4429 | 0.1953 | 100 | 4.6021 |
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+ | 3.1755 | 0.3906 | 200 | 1.4491 |
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+ | 1.6651 | 0.5859 | 300 | 0.7882 |
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+ | 1.2191 | 0.7812 | 400 | 0.5250 |
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+ | 0.877 | 0.9766 | 500 | 0.4177 |
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+ | 0.732 | 1.1719 | 600 | 0.3365 |
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+ | 0.6434 | 1.3672 | 700 | 0.2867 |
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+ | 0.5027 | 1.5625 | 800 | 0.2396 |
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+ | 0.4817 | 1.7578 | 900 | 0.2127 |
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+ | 0.3954 | 1.9531 | 1000 | 0.1937 |
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+ | 0.4317 | 2.1484 | 1100 | 0.1797 |
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+ | 0.3684 | 2.3438 | 1200 | 0.1609 |
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+ | 0.3167 | 2.5391 | 1300 | 0.1501 |
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+ | 0.3312 | 2.7344 | 1400 | 0.1376 |
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+ | 0.2785 | 2.9297 | 1500 | 0.1256 |
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+ | 0.2512 | 3.125 | 1600 | 0.1191 |
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+ | 0.2148 | 3.3203 | 1700 | 0.1126 |
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+ | 0.2264 | 3.5156 | 1800 | 0.1028 |
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+ | 0.2091 | 3.7109 | 1900 | 0.0963 |
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+ | 0.1851 | 3.9062 | 2000 | 0.0894 |
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+ | 0.1742 | 4.1016 | 2100 | 0.0844 |
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+ | 0.1432 | 4.2969 | 2200 | 0.0805 |
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+ | 0.1869 | 4.4922 | 2300 | 0.0765 |
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+ | 0.1539 | 4.6875 | 2400 | 0.0688 |
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+ | 0.1412 | 4.8828 | 2500 | 0.0682 |
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+ | 0.1231 | 5.0781 | 2600 | 0.0633 |
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+ | 0.1723 | 5.2734 | 2700 | 0.0570 |
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+ | 0.1437 | 5.4688 | 2800 | 0.0560 |
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+ | 0.1252 | 5.6641 | 2900 | 0.0499 |
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+ | 0.1052 | 5.8594 | 3000 | 0.0455 |
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+ | 0.1058 | 6.0547 | 3100 | 0.0482 |
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+ | 0.0692 | 6.25 | 3200 | 0.0413 |
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+ | 0.1163 | 6.4453 | 3300 | 0.0398 |
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+ | 0.0755 | 6.6406 | 3400 | 0.0358 |
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+ | 0.0922 | 6.8359 | 3500 | 0.0335 |
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+ | 0.0877 | 7.0312 | 3600 | 0.0329 |
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+ | 0.0744 | 7.2266 | 3700 | 0.0315 |
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+ | 0.0604 | 7.4219 | 3800 | 0.0280 |
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+ | 0.068 | 7.6172 | 3900 | 0.0285 |
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+ | 0.0663 | 7.8125 | 4000 | 0.0260 |
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+ | 0.0597 | 8.0078 | 4100 | 0.0264 |
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+ | 0.0566 | 8.2031 | 4200 | 0.0258 |
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+ | 0.0658 | 8.3984 | 4300 | 0.0237 |
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+ | 0.052 | 8.5938 | 4400 | 0.0232 |
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+ | 0.048 | 8.7891 | 4500 | 0.0247 |
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+ | 0.0588 | 8.9844 | 4600 | 0.0222 |
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+ | 0.0406 | 9.1797 | 4700 | 0.0231 |
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+ | 0.0527 | 9.375 | 4800 | 0.0211 |
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+ | 0.0516 | 9.5703 | 4900 | 0.0207 |
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+ | 0.0378 | 9.7656 | 5000 | 0.0213 |
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+ | 0.0506 | 9.9609 | 5100 | 0.0226 |
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  ### Framework versions
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