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yemen2016
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nbbert_ED1

Text Classification
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bert
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End of training

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  1. README.md +14 -24
  2. model.safetensors +1 -1
  3. runs/Sep12_07-42-17_22700fec697b/events.out.tfevents.1726126950.22700fec697b.1983.0 +2 -2
  4. runs/Sep12_07-42-17_22700fec697b/events.out.tfevents.1726127769.22700fec697b.1983.1 +3 -0
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [NbAiLab/nb-bert-base](https://huggingface.co/NbAiLab/nb-bert-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4147
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- - F1-score: 0.8769
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  ## Model description
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@@ -42,37 +42,27 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 20
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1-score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 69 | 0.7063 | 0.3425 |
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- | No log | 2.0 | 138 | 0.6562 | 0.4700 |
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- | No log | 3.0 | 207 | 0.5758 | 0.8114 |
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- | No log | 4.0 | 276 | 0.4802 | 0.8441 |
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- | No log | 5.0 | 345 | 0.4557 | 0.8096 |
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- | No log | 6.0 | 414 | 0.4620 | 0.8597 |
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- | No log | 7.0 | 483 | 0.4147 | 0.8769 |
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- | 0.4906 | 8.0 | 552 | 0.5979 | 0.8442 |
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- | 0.4906 | 9.0 | 621 | 0.6290 | 0.8432 |
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- | 0.4906 | 10.0 | 690 | 0.5401 | 0.8443 |
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- | 0.4906 | 11.0 | 759 | 0.5805 | 0.8606 |
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- | 0.4906 | 12.0 | 828 | 0.6075 | 0.8688 |
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- | 0.4906 | 13.0 | 897 | 0.7802 | 0.8436 |
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- | 0.4906 | 14.0 | 966 | 0.7530 | 0.8432 |
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- | 0.1795 | 15.0 | 1035 | 0.6979 | 0.8606 |
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- | 0.1795 | 16.0 | 1104 | 0.7619 | 0.8524 |
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- | 0.1795 | 17.0 | 1173 | 0.7760 | 0.8525 |
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- | 0.1795 | 18.0 | 1242 | 0.8060 | 0.8525 |
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- | 0.1795 | 19.0 | 1311 | 0.8363 | 0.8525 |
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- | 0.1795 | 20.0 | 1380 | 0.8305 | 0.8525 |
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  ### Framework versions
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  - Transformers 4.44.2
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  - Pytorch 2.4.0+cu121
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- - Datasets 2.21.0
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  - Tokenizers 0.19.1
 
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  This model is a fine-tuned version of [NbAiLab/nb-bert-base](https://huggingface.co/NbAiLab/nb-bert-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4723
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+ - F1-score: 0.8930
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1-score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 69 | 0.3745 | 0.8771 |
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+ | No log | 2.0 | 138 | 0.4001 | 0.8605 |
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+ | No log | 3.0 | 207 | 0.4723 | 0.8930 |
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+ | No log | 4.0 | 276 | 0.6866 | 0.8442 |
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+ | No log | 5.0 | 345 | 0.6563 | 0.8597 |
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+ | No log | 6.0 | 414 | 0.9802 | 0.8328 |
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+ | No log | 7.0 | 483 | 0.6917 | 0.8688 |
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+ | 0.2309 | 8.0 | 552 | 0.6327 | 0.8759 |
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+ | 0.2309 | 9.0 | 621 | 0.6371 | 0.8759 |
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+ | 0.2309 | 10.0 | 690 | 0.6340 | 0.8765 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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  - Transformers 4.44.2
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  - Pytorch 2.4.0+cu121
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+ - Datasets 3.0.0
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  - Tokenizers 0.19.1
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