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yemen2016
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danskbert_indirect_speech

Token Classification
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bert
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End of training

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  1. README.md +25 -25
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. runs/Feb07_13-06-25_32d4dd9baa07/events.out.tfevents.1738933588.32d4dd9baa07.2176.8 +3 -0
  5. runs/Feb07_13-06-25_32d4dd9baa07/events.out.tfevents.1738933703.32d4dd9baa07.2176.9 +3 -0
  6. 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: 0.6577
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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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@@ -59,29 +59,29 @@ The following hyperparameters were used during training:
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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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- - Transformers 4.47.1
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  - Pytorch 2.5.1+cu124
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  - Tokenizers 0.21.0
 
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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: 0.6570
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+ - Precision: 0.6586
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+ - Recall: 0.6570
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+ - F1: 0.6525
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+ - Loss: 0.8216
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  ## Model description
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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 | 0.5457 | 0.5231 | 0.5457 | 0.4294 | 1.0285 |
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+ | No log | 2.0 | 26 | 0.4100 | 0.1876 | 0.4100 | 0.2461 | 1.0252 |
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+ | No log | 3.0 | 39 | 0.5023 | 0.6704 | 0.5023 | 0.4244 | 0.8830 |
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+ | No log | 4.0 | 52 | 0.4991 | 0.7051 | 0.4991 | 0.4072 | 1.2035 |
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+ | No log | 5.0 | 65 | 0.4291 | 0.7156 | 0.4291 | 0.2829 | 1.3921 |
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+ | No log | 6.0 | 78 | 0.5491 | 0.7090 | 0.5491 | 0.4926 | 0.9938 |
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+ | No log | 7.0 | 91 | 0.5763 | 0.7044 | 0.5763 | 0.5365 | 1.0815 |
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+ | No log | 8.0 | 104 | 0.6624 | 0.6520 | 0.6624 | 0.6503 | 0.7027 |
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+ | No log | 9.0 | 117 | 0.6374 | 0.6696 | 0.6374 | 0.6308 | 0.9327 |
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+ | No log | 10.0 | 130 | 0.6549 | 0.6680 | 0.6549 | 0.6484 | 0.7493 |
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+ | No log | 11.0 | 143 | 0.6552 | 0.6597 | 0.6552 | 0.6499 | 0.7772 |
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+ | No log | 12.0 | 156 | 0.6604 | 0.6500 | 0.6604 | 0.6536 | 0.7496 |
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+ | No log | 13.0 | 169 | 0.6556 | 0.6643 | 0.6556 | 0.6502 | 0.8145 |
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+ | No log | 14.0 | 182 | 0.6588 | 0.6591 | 0.6588 | 0.6536 | 0.7831 |
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+ | No log | 15.0 | 195 | 0.6622 | 0.6604 | 0.6622 | 0.6572 | 0.7797 |
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+ | No log | 16.0 | 208 | 0.6588 | 0.6661 | 0.6588 | 0.6532 | 0.8084 |
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+ | No log | 17.0 | 221 | 0.6624 | 0.6672 | 0.6624 | 0.6578 | 0.8129 |
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+ | No log | 18.0 | 234 | 0.6597 | 0.6617 | 0.6597 | 0.6550 | 0.8171 |
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+ | No log | 18.48 | 240 | 0.6570 | 0.6586 | 0.6570 | 0.6525 | 0.8216 |
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  ### Framework versions
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+ - Transformers 4.48.2
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  - Pytorch 2.5.1+cu124
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  - Tokenizers 0.21.0
config.json CHANGED
@@ -35,7 +35,7 @@
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  "pad_token_id": 1,
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  "position_embedding_type": "absolute",
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  "torch_dtype": "float32",
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- "transformers_version": "4.47.1",
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  "type_vocab_size": 1,
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  "use_cache": true,
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  "vocab_size": 50005
 
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  "pad_token_id": 1,
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  "position_embedding_type": "absolute",
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  "torch_dtype": "float32",
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+ "transformers_version": "4.48.2",
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  "type_vocab_size": 1,
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  "use_cache": true,
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  "vocab_size": 50005
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