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distilbert
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  1. README.md +19 -19
  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,10 +16,10 @@ 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: 0.3547
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- - Topology Accuracy: 0.9844
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- - Service Accuracy: 0.9707
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- - Combined Accuracy: 0.9775
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  ## Model description
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@@ -52,21 +52,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Topology Accuracy | Service Accuracy | Combined Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------------:|:----------------:|:-----------------:|
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- | 0.6873 | 1.0 | 96 | 0.6360 | 0.9199 | 0.7207 | 0.8203 |
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- | 0.5304 | 2.0 | 192 | 0.4932 | 0.9648 | 0.8320 | 0.8984 |
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- | 0.3932 | 3.0 | 288 | 0.4083 | 0.9746 | 0.9102 | 0.9424 |
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- | 0.3548 | 4.0 | 384 | 0.3664 | 0.9766 | 0.9551 | 0.9658 |
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- | 0.3072 | 5.0 | 480 | 0.3418 | 0.9824 | 0.9727 | 0.9775 |
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- | 0.3076 | 6.0 | 576 | 0.3551 | 0.9824 | 0.9688 | 0.9756 |
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- | 0.3191 | 7.0 | 672 | 0.3611 | 0.9805 | 0.9668 | 0.9736 |
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- | 0.3035 | 8.0 | 768 | 0.3617 | 0.9824 | 0.9648 | 0.9736 |
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- | 0.3026 | 9.0 | 864 | 0.3569 | 0.9844 | 0.9648 | 0.9746 |
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- | 0.3027 | 10.0 | 960 | 0.3557 | 0.9844 | 0.9629 | 0.9736 |
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- | 0.3021 | 11.0 | 1056 | 0.3584 | 0.9824 | 0.9668 | 0.9746 |
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- | 0.3005 | 12.0 | 1152 | 0.3562 | 0.9844 | 0.9688 | 0.9766 |
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- | 0.3179 | 13.0 | 1248 | 0.3547 | 0.9844 | 0.9688 | 0.9766 |
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- | 0.3011 | 14.0 | 1344 | 0.3552 | 0.9844 | 0.9707 | 0.9775 |
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- | 0.3018 | 15.0 | 1440 | 0.3547 | 0.9844 | 0.9707 | 0.9775 |
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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: 0.3480
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+ - Topology Accuracy: 0.9863
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+ - Service Accuracy: 0.9668
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+ - Combined Accuracy: 0.9766
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Topology Accuracy | Service Accuracy | Combined Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------------:|:----------------:|:-----------------:|
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+ | 0.5891 | 1.0 | 96 | 0.5813 | 0.9629 | 0.7070 | 0.8350 |
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+ | 0.5125 | 2.0 | 192 | 0.5057 | 0.9688 | 0.8027 | 0.8857 |
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+ | 0.3715 | 3.0 | 288 | 0.3680 | 0.9863 | 0.9590 | 0.9727 |
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+ | 0.3339 | 4.0 | 384 | 0.3538 | 0.9824 | 0.9609 | 0.9717 |
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+ | 0.3204 | 5.0 | 480 | 0.3531 | 0.9863 | 0.9668 | 0.9766 |
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+ | 0.3172 | 6.0 | 576 | 0.3500 | 0.9883 | 0.9648 | 0.9766 |
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+ | 0.3035 | 7.0 | 672 | 0.3474 | 0.9844 | 0.9668 | 0.9756 |
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+ | 0.302 | 8.0 | 768 | 0.3556 | 0.9863 | 0.9629 | 0.9746 |
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+ | 0.3211 | 9.0 | 864 | 0.3522 | 0.9883 | 0.9668 | 0.9775 |
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+ | 0.3023 | 10.0 | 960 | 0.3461 | 0.9902 | 0.9688 | 0.9795 |
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+ | 0.3013 | 11.0 | 1056 | 0.3451 | 0.9883 | 0.9688 | 0.9785 |
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+ | 0.3003 | 12.0 | 1152 | 0.3500 | 0.9902 | 0.9688 | 0.9795 |
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+ | 0.3152 | 13.0 | 1248 | 0.3475 | 0.9883 | 0.9688 | 0.9785 |
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+ | 0.3 | 14.0 | 1344 | 0.3474 | 0.9844 | 0.9688 | 0.9766 |
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+ | 0.3029 | 15.0 | 1440 | 0.3480 | 0.9863 | 0.9668 | 0.9766 |
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  ### Framework versions
model.safetensors CHANGED
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