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FYP_sq2_mrqa_adqa

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  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. runs/Apr05_04-13-30_0f5e24b4f9dd/events.out.tfevents.1712290411.0f5e24b4f9dd.1781.0 +2 -2
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [kxx-kkk/FYP_sq2_mrqa](https://huggingface.co/kxx-kkk/FYP_sq2_mrqa) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.3786
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  ## Model description
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@@ -47,17 +47,17 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 3.508 | 0.27 | 500 | 2.6875 |
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- | 3.3871 | 0.53 | 1000 | 2.6039 |
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- | 3.3488 | 0.8 | 1500 | 2.5716 |
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- | 3.3308 | 1.06 | 2000 | 2.4436 |
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- | 3.2507 | 1.33 | 2500 | 2.4112 |
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- | 3.2404 | 1.6 | 3000 | 2.3842 |
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- | 3.242 | 1.86 | 3500 | 2.3779 |
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- | 3.2038 | 2.13 | 4000 | 2.3941 |
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- | 3.1811 | 2.4 | 4500 | 2.3838 |
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- | 3.1818 | 2.66 | 5000 | 2.3892 |
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- | 3.1721 | 2.93 | 5500 | 2.3786 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [kxx-kkk/FYP_sq2_mrqa](https://huggingface.co/kxx-kkk/FYP_sq2_mrqa) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.3608
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.5061 | 0.27 | 500 | 2.6842 |
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+ | 3.3877 | 0.53 | 1000 | 2.5561 |
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+ | 3.3468 | 0.8 | 1500 | 2.5469 |
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+ | 3.3258 | 1.06 | 2000 | 2.4571 |
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+ | 3.2486 | 1.33 | 2500 | 2.4096 |
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+ | 3.2401 | 1.6 | 3000 | 2.3633 |
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+ | 3.2378 | 1.86 | 3500 | 2.3697 |
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+ | 3.2005 | 2.13 | 4000 | 2.3978 |
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+ | 3.1763 | 2.4 | 4500 | 2.3770 |
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+ | 3.1787 | 2.66 | 5000 | 2.3678 |
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+ | 3.164 | 2.93 | 5500 | 2.3608 |
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  ### Framework versions
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