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End of training

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  1. README.md +14 -14
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [pdelobelle/robbert-v2-dutch-base](https://huggingface.co/pdelobelle/robbert-v2-dutch-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4378
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- - Precision: 0.7075
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- - Recall: 0.7311
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- - F1: 0.7191
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- - Accuracy: 0.8758
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  ## Model description
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@@ -43,7 +43,7 @@ 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: 5e-05
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  - train_batch_size: 32
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  - eval_batch_size: 32
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  - seed: 42
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 118 | 0.5027 | 0.6506 | 0.6860 | 0.6678 | 0.8551 |
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- | No log | 2.0 | 236 | 0.4378 | 0.7075 | 0.7311 | 0.7191 | 0.8758 |
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- | No log | 3.0 | 354 | 0.4974 | 0.7279 | 0.7335 | 0.7307 | 0.8725 |
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- | No log | 4.0 | 472 | 0.5225 | 0.7417 | 0.7469 | 0.7443 | 0.8723 |
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- | 0.3483 | 5.0 | 590 | 0.5488 | 0.7662 | 0.7335 | 0.7495 | 0.8789 |
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- | 0.3483 | 6.0 | 708 | 0.5439 | 0.7749 | 0.7645 | 0.7697 | 0.8861 |
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- | 0.3483 | 7.0 | 826 | 0.5673 | 0.7676 | 0.7663 | 0.7669 | 0.8838 |
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- | 0.3483 | 8.0 | 944 | 0.5820 | 0.7744 | 0.7680 | 0.7712 | 0.8850 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [pdelobelle/robbert-v2-dutch-base](https://huggingface.co/pdelobelle/robbert-v2-dutch-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3597
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+ - Precision: 0.7239
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+ - Recall: 0.7197
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+ - F1: 0.7218
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+ - Accuracy: 0.8938
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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: 2.5e-05
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  - train_batch_size: 32
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  - eval_batch_size: 32
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 118 | 0.4622 | 0.6165 | 0.5828 | 0.5992 | 0.8584 |
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+ | No log | 2.0 | 236 | 0.4044 | 0.6675 | 0.6620 | 0.6647 | 0.8772 |
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+ | No log | 3.0 | 354 | 0.3787 | 0.6945 | 0.7220 | 0.708 | 0.8904 |
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+ | No log | 4.0 | 472 | 0.3597 | 0.7239 | 0.7197 | 0.7218 | 0.8938 |
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+ | 0.4344 | 5.0 | 590 | 0.3615 | 0.7273 | 0.7430 | 0.7351 | 0.8974 |
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+ | 0.4344 | 6.0 | 708 | 0.3909 | 0.7410 | 0.7418 | 0.7414 | 0.8977 |
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+ | 0.4344 | 7.0 | 826 | 0.3868 | 0.7394 | 0.7343 | 0.7368 | 0.8966 |
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+ | 0.4344 | 8.0 | 944 | 0.3858 | 0.7402 | 0.7389 | 0.7396 | 0.8977 |
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  ### Framework versions
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