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bert-base-german-uncased

Text Classification
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bert
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End of training

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  1. README.md +54 -14
  2. pytorch_model.bin +1 -1
  3. tokenizer.json +1 -8
  4. training_args.bin +2 -2
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [dbmdz/bert-base-german-uncased](https://huggingface.co/dbmdz/bert-base-german-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5959
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- - F1: 0.4516
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  ## Model description
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@@ -37,28 +37,68 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-06
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  - train_batch_size: 8
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  - eval_batch_size: 8
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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 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.6742 | 1.0 | 189 | 0.6543 | 0.0 |
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- | 0.6716 | 2.0 | 378 | 0.6124 | 0.0571 |
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- | 0.6364 | 3.0 | 567 | 0.6232 | 0.0556 |
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- | 0.6251 | 4.0 | 756 | 0.6286 | 0.2 |
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- | 0.6361 | 5.0 | 945 | 0.5809 | 0.3529 |
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- | 0.5249 | 6.0 | 1134 | 0.6455 | 0.3404 |
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- | 0.5637 | 7.0 | 1323 | 0.5644 | 0.4444 |
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- | 0.4638 | 8.0 | 1512 | 0.5942 | 0.4333 |
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- | 0.4961 | 9.0 | 1701 | 0.5980 | 0.4333 |
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- | 0.4892 | 10.0 | 1890 | 0.5959 | 0.4516 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [dbmdz/bert-base-german-uncased](https://huggingface.co/dbmdz/bert-base-german-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5523
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+ - F1: 0.4333
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2e-07
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  - train_batch_size: 8
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  - eval_batch_size: 8
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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: 50
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.6943 | 1.0 | 189 | 0.6839 | 0.08 |
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+ | 0.6718 | 2.0 | 378 | 0.6603 | 0.0339 |
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+ | 0.66 | 3.0 | 567 | 0.6508 | 0.0476 |
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+ | 0.6568 | 4.0 | 756 | 0.6457 | 0.05 |
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+ | 0.6638 | 5.0 | 945 | 0.6439 | 0.0513 |
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+ | 0.6552 | 6.0 | 1134 | 0.6387 | 0.0556 |
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+ | 0.6709 | 7.0 | 1323 | 0.6386 | 0.0556 |
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+ | 0.6541 | 8.0 | 1512 | 0.6369 | 0.0556 |
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+ | 0.6644 | 9.0 | 1701 | 0.6434 | 0.0 |
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+ | 0.6601 | 10.0 | 1890 | 0.6432 | 0.0 |
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+ | 0.6558 | 11.0 | 2079 | 0.6421 | 0.0 |
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+ | 0.6548 | 12.0 | 2268 | 0.6398 | 0.0 |
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+ | 0.6593 | 13.0 | 2457 | 0.6401 | 0.0 |
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+ | 0.6502 | 14.0 | 2646 | 0.6366 | 0.0 |
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+ | 0.6457 | 15.0 | 2835 | 0.6292 | 0.0541 |
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+ | 0.6478 | 16.0 | 3024 | 0.6267 | 0.0541 |
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+ | 0.6378 | 17.0 | 3213 | 0.6311 | 0.0 |
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+ | 0.6325 | 18.0 | 3402 | 0.6279 | 0.0 |
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+ | 0.6467 | 19.0 | 3591 | 0.6253 | 0.0 |
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+ | 0.6338 | 20.0 | 3780 | 0.6227 | 0.0 |
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+ | 0.6281 | 21.0 | 3969 | 0.6194 | 0.0 |
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+ | 0.6205 | 22.0 | 4158 | 0.6155 | 0.0 |
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+ | 0.6288 | 23.0 | 4347 | 0.6113 | 0.0 |
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+ | 0.6178 | 24.0 | 4536 | 0.6081 | 0.0976 |
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+ | 0.6221 | 25.0 | 4725 | 0.6049 | 0.1778 |
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+ | 0.612 | 26.0 | 4914 | 0.6011 | 0.25 |
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+ | 0.6052 | 27.0 | 5103 | 0.5971 | 0.25 |
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+ | 0.5997 | 28.0 | 5292 | 0.5925 | 0.2553 |
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+ | 0.603 | 29.0 | 5481 | 0.5895 | 0.3265 |
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+ | 0.5973 | 30.0 | 5670 | 0.5856 | 0.3200 |
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+ | 0.594 | 31.0 | 5859 | 0.5821 | 0.3200 |
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+ | 0.5825 | 32.0 | 6048 | 0.5786 | 0.3529 |
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+ | 0.5787 | 33.0 | 6237 | 0.5753 | 0.3929 |
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+ | 0.5848 | 34.0 | 6426 | 0.5724 | 0.3929 |
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+ | 0.5703 | 35.0 | 6615 | 0.5698 | 0.4000 |
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+ | 0.584 | 36.0 | 6804 | 0.5673 | 0.3929 |
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+ | 0.5668 | 37.0 | 6993 | 0.5648 | 0.3860 |
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+ | 0.5624 | 38.0 | 7182 | 0.5629 | 0.3860 |
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+ | 0.5793 | 39.0 | 7371 | 0.5611 | 0.4138 |
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+ | 0.5555 | 40.0 | 7560 | 0.5593 | 0.3860 |
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+ | 0.5664 | 41.0 | 7749 | 0.5579 | 0.4407 |
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+ | 0.553 | 42.0 | 7938 | 0.5566 | 0.4483 |
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+ | 0.5597 | 43.0 | 8127 | 0.5555 | 0.4483 |
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+ | 0.5555 | 44.0 | 8316 | 0.5546 | 0.4407 |
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+ | 0.5589 | 45.0 | 8505 | 0.5538 | 0.4333 |
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+ | 0.5578 | 46.0 | 8694 | 0.5531 | 0.4333 |
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+ | 0.5499 | 47.0 | 8883 | 0.5528 | 0.4333 |
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+ | 0.5434 | 48.0 | 9072 | 0.5524 | 0.4333 |
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+ | 0.5607 | 49.0 | 9261 | 0.5523 | 0.4333 |
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+ | 0.5478 | 50.0 | 9450 | 0.5523 | 0.4333 |
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  ### Framework versions
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