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End of training

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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -19,13 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # output
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- This model is a fine-tuned version of [jhu-clsp/mmBERT-base](https://huggingface.co/jhu-clsp/mmBERT-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4235
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- - Precision: 0.7559
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- - Recall: 0.7428
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- - F1: 0.7493
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- - Accuracy: 0.8486
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  ## Model description
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@@ -58,11 +58,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.4152 | 1.0 | 477 | 0.4235 | 0.7559 | 0.7428 | 0.7493 | 0.8486 |
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- | 0.3653 | 2.0 | 954 | 0.3950 | 0.7364 | 0.7418 | 0.7391 | 0.8577 |
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- | 0.3508 | 3.0 | 1431 | 0.3991 | 0.7602 | 0.7371 | 0.7485 | 0.8577 |
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- | 0.2844 | 4.0 | 1908 | 0.4244 | 0.7328 | 0.7445 | 0.7386 | 0.8543 |
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- | 0.2143 | 5.0 | 2385 | 0.4813 | 0.7324 | 0.7449 | 0.7386 | 0.8507 |
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  ### Framework versions
 
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  # output
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+ This model is a fine-tuned version of [jhu-clsp/mmBERT-base](https://huggingface.co/jhu-clsp/mmBERT-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6104
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+ - Precision: 0.6530
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+ - Recall: 0.6880
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+ - F1: 0.6700
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+ - Accuracy: 0.7837
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.6422 | 1.0 | 971 | 0.6301 | 0.6543 | 0.6677 | 0.6609 | 0.7806 |
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+ | 0.6043 | 2.0 | 1942 | 0.6104 | 0.6530 | 0.6880 | 0.6700 | 0.7837 |
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+ | 0.5953 | 3.0 | 2913 | 0.6006 | 0.6385 | 0.6841 | 0.6605 | 0.7800 |
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+ | 0.5578 | 4.0 | 3884 | 0.6148 | 0.6517 | 0.6811 | 0.6661 | 0.7831 |
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+ | 0.4908 | 5.0 | 4855 | 0.6539 | 0.6385 | 0.6655 | 0.6518 | 0.7723 |
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  ### Framework versions
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