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MaVier19
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zero-shot_text_classification_fine_tuned

Text Classification
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deberta-v2
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Training in progress, epoch 1

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  1. README.md +10 -11
  2. model.safetensors +1 -1
  3. runs/Jan12_16-31-07_1f50fcdd7de9/events.out.tfevents.1705079484.1f50fcdd7de9.10564.1 +3 -0
  4. runs/Jan24_15-29-17_2d62618f8276/events.out.tfevents.1706110165.2d62618f8276.187.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -18,10 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli](https://huggingface.co/MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7408
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- - Accuracy: 0.8185
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- - F1: 0.8182
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- - Log Loss: 0.7408
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  ## Model description
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@@ -51,13 +50,13 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Log Loss |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:|
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- | 1.6221 | 1.0 | 750 | 0.8552 | 0.702 | 0.7047 | 0.8552 |
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- | 0.8073 | 2.0 | 1500 | 0.7856 | 0.772 | 0.7701 | 0.7856 |
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- | 0.6747 | 3.0 | 2250 | 0.7987 | 0.785 | 0.7875 | 0.7987 |
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- | 0.5195 | 4.0 | 3000 | 0.7529 | 0.8125 | 0.8132 | 0.7529 |
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- | 0.4164 | 5.0 | 3750 | 0.7408 | 0.8185 | 0.8182 | 0.7408 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli](https://huggingface.co/MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7573
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+ - Accuracy: 0.82
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+ - F1: 0.8207
 
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 1.6738 | 1.0 | 750 | 0.8938 | 0.712 | 0.7142 |
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+ | 0.7626 | 2.0 | 1500 | 0.8021 | 0.7645 | 0.7633 |
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+ | 0.6333 | 3.0 | 2250 | 0.7307 | 0.7965 | 0.7997 |
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+ | 0.5001 | 4.0 | 3000 | 0.6905 | 0.817 | 0.8181 |
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+ | 0.3686 | 5.0 | 3750 | 0.7573 | 0.82 | 0.8207 |
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  ### Framework versions
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