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bob-bob-bob-3
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classification-hate-speech-DE-14-twit

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End of training

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  1. README.md +18 -18
  2. model.safetensors +1 -1
  3. runs/Jun19_16-07-33_ed776ddd8033/events.out.tfevents.1718813256.ed776ddd8033.188.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.7131
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- - F1 macro: 0.4211
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- - Weighted: 0.6318
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- - Balanced accuracy: 0.5466
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  ## Model description
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@@ -49,20 +49,20 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 macro | Weighted | Balanced accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
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- | 1.2526 | 1.0 | 152 | 1.0691 | 0.4123 | 0.6723 | 0.4918 |
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- | 0.8027 | 2.0 | 304 | 1.0656 | 0.4134 | 0.6745 | 0.4853 |
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- | 0.2427 | 3.0 | 456 | 1.6157 | 0.4341 | 0.6215 | 0.5589 |
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- | 0.0699 | 4.0 | 608 | 1.8798 | 0.3919 | 0.6305 | 0.5128 |
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- | 0.0721 | 5.0 | 760 | 2.5604 | 0.3917 | 0.5534 | 0.5298 |
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- | 0.0514 | 6.0 | 912 | 2.4451 | 0.3949 | 0.6116 | 0.5375 |
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- | 0.002 | 7.0 | 1064 | 2.6198 | 0.4128 | 0.6078 | 0.5445 |
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- | 0.0161 | 8.0 | 1216 | 2.6067 | 0.4185 | 0.6181 | 0.5441 |
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- | 0.0007 | 9.0 | 1368 | 2.5439 | 0.4209 | 0.6326 | 0.5436 |
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- | 0.0006 | 10.0 | 1520 | 2.6588 | 0.4199 | 0.6296 | 0.5476 |
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- | 0.0005 | 11.0 | 1672 | 2.6799 | 0.4210 | 0.6321 | 0.5481 |
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- | 0.0004 | 12.0 | 1824 | 2.6578 | 0.4223 | 0.6358 | 0.5458 |
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- | 0.0004 | 13.0 | 1976 | 2.6912 | 0.4237 | 0.6369 | 0.5476 |
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- | 0.0005 | 14.0 | 2128 | 2.7131 | 0.4211 | 0.6318 | 0.5466 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.0647
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+ - F1 macro: 0.4076
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+ - Weighted: 0.5816
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+ - Balanced accuracy: 0.5560
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 macro | Weighted | Balanced accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|
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+ | 1.2717 | 1.0 | 152 | 1.1413 | 0.3986 | 0.6607 | 0.4780 |
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+ | 0.7363 | 2.0 | 304 | 1.2159 | 0.3829 | 0.6075 | 0.4706 |
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+ | 0.2523 | 3.0 | 456 | 1.4802 | 0.3994 | 0.6380 | 0.4901 |
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+ | 0.1209 | 4.0 | 608 | 1.9894 | 0.4200 | 0.6130 | 0.5900 |
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+ | 0.0201 | 5.0 | 760 | 2.7075 | 0.3731 | 0.5537 | 0.5221 |
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+ | 0.0052 | 6.0 | 912 | 2.4151 | 0.4301 | 0.6211 | 0.5905 |
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+ | 0.0012 | 7.0 | 1064 | 3.2430 | 0.3791 | 0.5228 | 0.5470 |
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+ | 0.0014 | 8.0 | 1216 | 2.7395 | 0.4054 | 0.6010 | 0.5485 |
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+ | 0.001 | 9.0 | 1368 | 2.6392 | 0.4167 | 0.6052 | 0.5505 |
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+ | 0.0005 | 10.0 | 1520 | 2.8755 | 0.4049 | 0.5893 | 0.5546 |
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+ | 0.0005 | 11.0 | 1672 | 2.7610 | 0.4152 | 0.6027 | 0.5560 |
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+ | 0.0009 | 12.0 | 1824 | 3.0945 | 0.4011 | 0.5710 | 0.5511 |
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+ | 0.0003 | 13.0 | 1976 | 3.1262 | 0.4003 | 0.5687 | 0.5506 |
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+ | 0.0004 | 14.0 | 2128 | 3.0647 | 0.4076 | 0.5816 | 0.5560 |
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  ### Framework versions
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