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End of training

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  1. README.md +18 -11
  2. pytorch_model.bin +1 -1
  3. training_args.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 [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1315
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- - Precision: 0.7842
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- - Recall: 0.8227
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- - F1: 0.8030
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- - Accuracy: 0.9573
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  ## Model description
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@@ -49,15 +49,22 @@ 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: 3
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.1569 | 1.0 | 2272 | 0.1481 | 0.6980 | 0.8091 | 0.7494 | 0.9460 |
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- | 0.1073 | 2.0 | 4544 | 0.1319 | 0.7720 | 0.8110 | 0.7910 | 0.9540 |
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- | 0.0751 | 3.0 | 6816 | 0.1315 | 0.7842 | 0.8227 | 0.8030 | 0.9573 |
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2125
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+ - Precision: 0.8073
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+ - Recall: 0.8272
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+ - F1: 0.8171
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+ - Accuracy: 0.9592
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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 | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.1593 | 1.0 | 2272 | 0.1469 | 0.7158 | 0.8005 | 0.7558 | 0.9468 |
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+ | 0.1154 | 2.0 | 4544 | 0.1304 | 0.7720 | 0.8116 | 0.7913 | 0.9547 |
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+ | 0.0862 | 3.0 | 6816 | 0.1381 | 0.7912 | 0.8117 | 0.8013 | 0.9557 |
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+ | 0.0673 | 4.0 | 9088 | 0.1404 | 0.8006 | 0.8099 | 0.8052 | 0.9567 |
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+ | 0.0515 | 5.0 | 11360 | 0.1511 | 0.8135 | 0.8063 | 0.8099 | 0.9578 |
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+ | 0.0402 | 6.0 | 13632 | 0.1666 | 0.8030 | 0.8235 | 0.8131 | 0.9582 |
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+ | 0.0286 | 7.0 | 15904 | 0.1848 | 0.8066 | 0.8208 | 0.8137 | 0.9579 |
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+ | 0.022 | 8.0 | 18176 | 0.1957 | 0.8060 | 0.8226 | 0.8142 | 0.9585 |
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+ | 0.0201 | 9.0 | 20448 | 0.2062 | 0.8022 | 0.8283 | 0.8151 | 0.9585 |
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+ | 0.0164 | 10.0 | 22720 | 0.2125 | 0.8073 | 0.8272 | 0.8171 | 0.9592 |
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  ### Framework versions
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