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distilbert-base-uncased-finetuned-adl_hw1

Text Classification
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  1. README.md +6 -6
  2. model.safetensors +1 -1
  3. runs/Jan19_07-05-33_e92ee9175b3c/events.out.tfevents.1705647958.e92ee9175b3c.161.0 +2 -2
  4. runs/Jan19_07-05-33_e92ee9175b3c/events.out.tfevents.1705648584.e92ee9175b3c.161.1 +3 -0
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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2057
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  - Accuracy: 0.0003
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  ## Model description
@@ -49,11 +49,11 @@ 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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- | 4.2686 | 1.0 | 938 | 1.7062 | 0.0 |
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- | 1.1619 | 2.0 | 1876 | 0.5124 | 0.0 |
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- | 0.3101 | 3.0 | 2814 | 0.2743 | 0.0 |
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- | 0.127 | 4.0 | 3752 | 0.2154 | 0.0 |
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- | 0.0715 | 5.0 | 4690 | 0.2057 | 0.0003 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.7945
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  - Accuracy: 0.0003
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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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+ | 4.3106 | 1.0 | 938 | 1.7945 | 0.0003 |
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+ | 1.2138 | 2.0 | 1876 | 0.5088 | 0.0 |
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+ | 0.309 | 3.0 | 2814 | 0.2660 | 0.0003 |
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+ | 0.1243 | 4.0 | 3752 | 0.2111 | 0.0 |
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+ | 0.0707 | 5.0 | 4690 | 0.2014 | 0.0 |
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  ### Framework versions
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