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yemen2016
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danskbert_indirect_speech

Token Classification
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bert
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  1. README.md +26 -25
  2. model.safetensors +1 -1
  3. runs/Feb06_12-56-14_393e7c5d2d13/events.out.tfevents.1738846577.393e7c5d2d13.353.4 +3 -0
  4. runs/Feb06_12-56-14_393e7c5d2d13/events.out.tfevents.1738846671.393e7c5d2d13.353.5 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [vesteinn/DanskBERT](https://huggingface.co/vesteinn/DanskBERT) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Accuracy: 0.6698
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- - Precision: 0.7042
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- - Recall: 0.6698
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- - F1: 0.6640
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- - Loss: 0.7715
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  ## Model description
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@@ -57,26 +57,27 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Accuracy | Precision | Recall | F1 | Validation Loss |
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- |:-------------:|:-------:|:----:|:--------:|:---------:|:------:|:------:|:---------------:|
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- | No log | 1.0 | 9 | 0.3820 | 0.1459 | 0.3820 | 0.2112 | 1.1479 |
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- | No log | 2.0 | 18 | 0.3820 | 0.1459 | 0.3820 | 0.2112 | 1.4862 |
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- | No log | 3.0 | 27 | 0.5385 | 0.2900 | 0.5385 | 0.3770 | 1.0168 |
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- | No log | 4.0 | 36 | 0.3820 | 0.1459 | 0.3820 | 0.2112 | 1.0134 |
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- | No log | 5.0 | 45 | 0.4551 | 0.6492 | 0.4551 | 0.3461 | 0.9242 |
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- | No log | 6.0 | 54 | 0.6217 | 0.6269 | 0.6217 | 0.5716 | 0.7808 |
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- | No log | 7.0 | 63 | 0.6183 | 0.6601 | 0.6183 | 0.5446 | 0.7970 |
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- | No log | 8.0 | 72 | 0.4519 | 0.6933 | 0.4519 | 0.3345 | 1.0565 |
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- | No log | 9.0 | 81 | 0.7000 | 0.6985 | 0.7000 | 0.6842 | 0.7125 |
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- | No log | 10.0 | 90 | 0.6480 | 0.6978 | 0.6480 | 0.6395 | 0.7874 |
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- | No log | 11.0 | 99 | 0.6226 | 0.7064 | 0.6226 | 0.6062 | 0.8571 |
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- | No log | 12.0 | 108 | 0.5364 | 0.7104 | 0.5364 | 0.4812 | 1.1975 |
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- | No log | 13.0 | 117 | 0.7423 | 0.7327 | 0.7423 | 0.7336 | 0.6509 |
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- | No log | 14.0 | 126 | 0.7372 | 0.7275 | 0.7372 | 0.7306 | 0.6489 |
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- | No log | 15.0 | 135 | 0.5954 | 0.7039 | 0.5954 | 0.5712 | 0.9821 |
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- | No log | 16.0 | 144 | 0.7372 | 0.7317 | 0.7372 | 0.7258 | 0.6768 |
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- | No log | 17.0 | 153 | 0.6457 | 0.7049 | 0.6457 | 0.6355 | 0.8276 |
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- | No log | 17.8235 | 160 | 0.6698 | 0.7042 | 0.6698 | 0.6640 | 0.7715 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [vesteinn/DanskBERT](https://huggingface.co/vesteinn/DanskBERT) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Accuracy: 0.6577
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+ - Precision: 0.6982
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+ - Recall: 0.6577
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+ - F1: 0.6486
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+ - Loss: 0.8890
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Accuracy | Precision | Recall | F1 | Validation Loss |
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+ |:-------------:|:-----:|:----:|:--------:|:---------:|:------:|:------:|:---------------:|
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+ | No log | 1.0 | 13 | 0.5310 | 0.2819 | 0.5310 | 0.3683 | 1.1024 |
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+ | No log | 2.0 | 26 | 0.5329 | 0.5102 | 0.5329 | 0.3785 | 0.9938 |
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+ | No log | 3.0 | 39 | 0.4206 | 0.5351 | 0.4206 | 0.2658 | 1.1366 |
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+ | No log | 4.0 | 52 | 0.6118 | 0.6521 | 0.6118 | 0.5410 | 0.8100 |
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+ | No log | 5.0 | 65 | 0.6691 | 0.6700 | 0.6691 | 0.6430 | 0.7886 |
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+ | No log | 6.0 | 78 | 0.6214 | 0.6756 | 0.6214 | 0.5529 | 0.8290 |
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+ | No log | 7.0 | 91 | 0.6182 | 0.7008 | 0.6182 | 0.5988 | 0.9558 |
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+ | No log | 8.0 | 104 | 0.4476 | 0.7400 | 0.4476 | 0.3122 | 1.3500 |
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+ | No log | 9.0 | 117 | 0.5997 | 0.7008 | 0.5997 | 0.5757 | 1.0460 |
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+ | No log | 10.0 | 130 | 0.5717 | 0.7244 | 0.5717 | 0.5303 | 1.0733 |
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+ | No log | 11.0 | 143 | 0.6566 | 0.7000 | 0.6566 | 0.6473 | 0.8322 |
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+ | No log | 12.0 | 156 | 0.6562 | 0.7050 | 0.6562 | 0.6488 | 0.8855 |
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+ | No log | 13.0 | 169 | 0.6711 | 0.6900 | 0.6711 | 0.6647 | 0.8431 |
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+ | No log | 14.0 | 182 | 0.6208 | 0.7001 | 0.6208 | 0.6025 | 0.9622 |
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+ | No log | 15.0 | 195 | 0.6823 | 0.7000 | 0.6823 | 0.6758 | 0.7811 |
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+ | No log | 16.0 | 208 | 0.6611 | 0.6971 | 0.6611 | 0.6533 | 0.8808 |
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+ | No log | 17.0 | 221 | 0.6677 | 0.6960 | 0.6677 | 0.6604 | 0.8277 |
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+ | No log | 18.0 | 234 | 0.6579 | 0.6991 | 0.6579 | 0.6488 | 0.8897 |
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+ | No log | 18.48 | 240 | 0.6577 | 0.6982 | 0.6577 | 0.6486 | 0.8890 |
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  ### Framework versions
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