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mwik-classifier-xd

Text Classification
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roberta
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Files changed (9) hide show
  1. README.md +13 -13
  2. all_results.json +13 -13
  3. config.json +34 -56
  4. label_info.json +35 -57
  5. logs/events.out.tfevents.1761030237.aaa12454a01a.722.0 +3 -0
  6. logs/events.out.tfevents.1761030680.aaa12454a01a.722.1 +3 -0
  7. model.safetensors +2 -2
  8. test_results.json +8 -8
  9. train_results.json +5 -5
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 [PKOBP/polish-roberta-8k](https://huggingface.co/PKOBP/polish-roberta-8k) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.5204
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- - Accuracy: 0.6913
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- - Precision: 0.6262
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- - Recall: 0.6913
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- - F1: 0.6466
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  ## Model description
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@@ -60,14 +60,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | No log | 1.0 | 40 | 3.0781 | 0.3321 | 0.2327 | 0.3321 | 0.2216 |
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- | 3.4361 | 2.0 | 80 | 2.3150 | 0.5547 | 0.4310 | 0.5547 | 0.4554 |
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- | 2.5248 | 3.0 | 120 | 1.8797 | 0.6505 | 0.5657 | 0.6505 | 0.5747 |
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- | 1.9758 | 4.0 | 160 | 1.6472 | 0.6978 | 0.6032 | 0.6978 | 0.6343 |
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- | 1.6695 | 5.0 | 200 | 1.5167 | 0.7090 | 0.6439 | 0.7090 | 0.6525 |
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- | 1.6695 | 6.0 | 240 | 1.4413 | 0.7214 | 0.6519 | 0.7214 | 0.6721 |
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- | 1.49 | 7.0 | 280 | 1.4023 | 0.7276 | 0.6570 | 0.7276 | 0.6800 |
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- | 1.3922 | 8.0 | 320 | 1.3896 | 0.7264 | 0.6564 | 0.7264 | 0.6793 |
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73
  ### Framework versions
 
21
 
22
  This model is a fine-tuned version of [PKOBP/polish-roberta-8k](https://huggingface.co/PKOBP/polish-roberta-8k) on the None dataset.
23
  It achieves the following results on the evaluation set:
24
+ - Loss: 1.1730
25
+ - Accuracy: 0.7526
26
+ - Precision: 0.7246
27
+ - Recall: 0.7526
28
+ - F1: 0.7294
29
 
30
  ## Model description
31
 
 
60
 
61
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
62
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
63
+ | No log | 1.0 | 40 | 2.7015 | 0.4353 | 0.3427 | 0.4353 | 0.3307 |
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+ | 3.1068 | 2.0 | 80 | 1.8697 | 0.6393 | 0.5159 | 0.6393 | 0.5553 |
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+ | 2.1021 | 3.0 | 120 | 1.4788 | 0.7114 | 0.6104 | 0.7114 | 0.6471 |
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+ | 1.5615 | 4.0 | 160 | 1.2776 | 0.7550 | 0.7125 | 0.7550 | 0.7146 |
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+ | 1.2879 | 5.0 | 200 | 1.1802 | 0.7687 | 0.7413 | 0.7687 | 0.7320 |
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+ | 1.2879 | 6.0 | 240 | 1.1055 | 0.7848 | 0.7601 | 0.7848 | 0.7604 |
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+ | 1.111 | 7.0 | 280 | 1.0727 | 0.7848 | 0.7593 | 0.7848 | 0.7619 |
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+ | 1.0372 | 8.0 | 320 | 1.0597 | 0.7898 | 0.7656 | 0.7898 | 0.7696 |
71
 
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  ### Framework versions
all_results.json CHANGED
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config.json CHANGED
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label_info.json CHANGED
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