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End of training

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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 [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0904
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- - Precision: 0.9322
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- - Recall: 0.9649
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- - F1: 0.9483
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- - Accuracy: 0.9813
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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: 0.0002
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  - train_batch_size: 4
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  - eval_batch_size: 4
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  - seed: 42
@@ -55,12 +55,12 @@ 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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- | No log | 1.0 | 58 | 0.1103 | 0.9316 | 0.9561 | 0.9437 | 0.9762 |
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- | No log | 2.0 | 116 | 0.1157 | 0.9474 | 0.9474 | 0.9474 | 0.9796 |
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- | No log | 3.0 | 174 | 0.1069 | 0.9153 | 0.9474 | 0.9310 | 0.9779 |
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- | No log | 4.0 | 232 | 0.0904 | 0.9322 | 0.9649 | 0.9483 | 0.9813 |
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- | No log | 5.0 | 290 | 0.0990 | 0.9322 | 0.9649 | 0.9483 | 0.9796 |
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- | No log | 6.0 | 348 | 0.0964 | 0.9244 | 0.9649 | 0.9442 | 0.9813 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0559
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+ - Precision: 0.95
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+ - Recall: 0.9661
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+ - F1: 0.9580
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+ - Accuracy: 0.9856
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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-05
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  - train_batch_size: 4
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  - eval_batch_size: 4
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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 | 59 | 0.1342 | 0.8974 | 0.8898 | 0.8936 | 0.9633 |
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+ | No log | 2.0 | 118 | 0.0559 | 0.95 | 0.9661 | 0.9580 | 0.9856 |
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+ | No log | 3.0 | 177 | 0.0612 | 0.9417 | 0.9576 | 0.9496 | 0.9872 |
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+ | No log | 4.0 | 236 | 0.0605 | 0.9322 | 0.9322 | 0.9322 | 0.9840 |
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+ | No log | 5.0 | 295 | 0.0570 | 0.9496 | 0.9576 | 0.9536 | 0.9888 |
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+ | No log | 6.0 | 354 | 0.0579 | 0.9496 | 0.9576 | 0.9536 | 0.9888 |
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  ### Framework versions
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