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Trong-Nghia
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bert-large-uncased-detect-dep-v7

Text Classification
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bert
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text-embeddings-inference
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Trong-Nghia commited on
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End of training

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Files changed (3) hide show
  1. README.md +6 -6
  2. pytorch_model.bin +1 -1
  3. runs/Jul24_07-32-52_d0277abfa4be/events.out.tfevents.1690184449.d0277abfa4be.1094.0 +2 -2
README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5741
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- - Accuracy: 0.727
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- - F1: 0.7976
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  ## Model description
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@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.6256 | 1.0 | 751 | 0.5479 | 0.759 | 0.8245 |
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- | 0.5624 | 2.0 | 1502 | 0.5343 | 0.749 | 0.8198 |
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- | 0.5057 | 3.0 | 2253 | 0.5741 | 0.727 | 0.7976 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5683
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+ - Accuracy: 0.737
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+ - F1: 0.8039
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.6273 | 1.0 | 751 | 0.5390 | 0.75 | 0.8234 |
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+ | 0.5603 | 2.0 | 1502 | 0.5430 | 0.751 | 0.8202 |
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+ | 0.4999 | 3.0 | 2253 | 0.5683 | 0.737 | 0.8039 |
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  ### Framework versions
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