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SharonTudi
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DIALOGUE_four_model

Text Classification
Transformers
TensorBoard
Safetensors
distilbert
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End of training

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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. runs/Jan13_12-43-26_d96e8237dc3d/events.out.tfevents.1705149810.d96e8237dc3d.591.14 +3 -0
  4. runs/Jan13_12-49-39_d96e8237dc3d/events.out.tfevents.1705150183.d96e8237dc3d.591.15 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0647
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  - Accuracy: 0.9902
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  ## Model description
@@ -49,15 +49,15 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 1.1679 | 0.31 | 15 | 0.9400 | 0.7843 |
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- | 0.8204 | 0.62 | 30 | 0.5682 | 0.9314 |
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- | 0.5848 | 0.94 | 45 | 0.3110 | 0.9804 |
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- | 0.3068 | 1.25 | 60 | 0.1888 | 0.9804 |
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- | 0.2195 | 1.56 | 75 | 0.1302 | 0.9902 |
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- | 0.1563 | 1.88 | 90 | 0.0965 | 0.9902 |
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- | 0.0684 | 2.19 | 105 | 0.0777 | 0.9902 |
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- | 0.0967 | 2.5 | 120 | 0.0689 | 0.9804 |
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- | 0.0814 | 2.81 | 135 | 0.0647 | 0.9902 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0457
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  - Accuracy: 0.9902
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.083 | 0.31 | 15 | 0.0933 | 0.9706 |
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+ | 0.0508 | 0.62 | 30 | 0.0409 | 0.9902 |
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+ | 0.0158 | 0.94 | 45 | 0.0600 | 0.9902 |
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+ | 0.013 | 1.25 | 60 | 0.0626 | 0.9902 |
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+ | 0.0052 | 1.56 | 75 | 0.0451 | 0.9804 |
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+ | 0.0045 | 1.88 | 90 | 0.0422 | 0.9902 |
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+ | 0.0035 | 2.19 | 105 | 0.0446 | 0.9902 |
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+ | 0.0031 | 2.5 | 120 | 0.0457 | 0.9902 |
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+ | 0.0034 | 2.81 | 135 | 0.0457 | 0.9902 |
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  ### Framework versions
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