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dfoc99
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scibert_scivocab_uncased-finetuned-Astronomy_Thesaurus

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  1. README.md +11 -11
  2. adapter_model.safetensors +1 -1
  3. runs/May13_14-48-47_792a697eae79/events.out.tfevents.1715611729.792a697eae79.3719.1 +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 [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3614
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  ## Model description
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@@ -46,16 +46,16 @@ 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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- | 1.5312 | 1.0 | 879 | 1.3809 |
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- | 1.4987 | 2.0 | 1758 | 1.4107 |
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- | 1.495 | 3.0 | 2637 | 1.3687 |
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- | 1.4667 | 4.0 | 3516 | 1.3820 |
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- | 1.4754 | 5.0 | 4395 | 1.3756 |
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- | 1.4635 | 6.0 | 5274 | 1.3619 |
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- | 1.4763 | 7.0 | 6153 | 1.3646 |
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- | 1.4534 | 8.0 | 7032 | 1.3713 |
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- | 1.4606 | 9.0 | 7911 | 1.3868 |
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- | 1.4703 | 10.0 | 8790 | 1.3614 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3610
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.5303 | 1.0 | 879 | 1.3800 |
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+ | 1.4977 | 2.0 | 1758 | 1.4101 |
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+ | 1.4942 | 3.0 | 2637 | 1.3678 |
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+ | 1.4662 | 4.0 | 3516 | 1.3817 |
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+ | 1.4748 | 5.0 | 4395 | 1.3750 |
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+ | 1.4629 | 6.0 | 5274 | 1.3611 |
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+ | 1.4763 | 7.0 | 6153 | 1.3643 |
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+ | 1.453 | 8.0 | 7032 | 1.3713 |
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+ | 1.4603 | 9.0 | 7911 | 1.3871 |
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+ | 1.4697 | 10.0 | 8790 | 1.3610 |
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  ### Framework versions
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