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prompt_fine_tuned_boolq

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tjasad/prompt_fine_tuned_boolq

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  1. README.md +7 -7
  2. adapter_model.safetensors +1 -1
  3. runs/May02_16-30-02_f8e65e12c3d9/events.out.tfevents.1714667427.f8e65e12c3d9.727.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.5846
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  - Accuracy: 0.7778
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  ## Model description
@@ -50,12 +50,12 @@ 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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- | No log | 1.0 | 12 | 0.5951 | 0.7778 |
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- | No log | 2.0 | 24 | 0.5930 | 0.7778 |
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- | No log | 3.0 | 36 | 0.5884 | 0.7778 |
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- | No log | 4.0 | 48 | 0.5855 | 0.7778 |
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- | No log | 5.0 | 60 | 0.5846 | 0.7778 |
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- | No log | 6.0 | 72 | 0.5846 | 0.7778 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.6522
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  - Accuracy: 0.7778
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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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+ | No log | 1.0 | 12 | 0.7220 | 0.2222 |
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+ | No log | 2.0 | 24 | 0.6952 | 0.5 |
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+ | No log | 3.0 | 36 | 0.6732 | 0.7778 |
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+ | No log | 4.0 | 48 | 0.6600 | 0.7778 |
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+ | No log | 5.0 | 60 | 0.6539 | 0.7778 |
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+ | No log | 6.0 | 72 | 0.6522 | 0.7778 |
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  ### Framework versions
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