yuliang555
/

my_awesome_wnut_model

Token Classification

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yuliang555 commited on Sep 26, 2023

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README.md +3 -3
pytorch_model.bin +1 -1

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@@ -44,7 +44,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the wnut_17 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3359
 - Precision: 0.0
 - Recall: 0.0
 - F1: 0.0
@@ -79,8 +79,8 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 1.0   | 54   | 0.3751          | 0.0       | 0.0    | 0.0 | 0.9256   |
-| No log        | 2.0   | 108  | 0.3359          | 0.0       | 0.0    | 0.0 | 0.9257   |
 ### Framework versions

 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the wnut_17 dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.3274
 - Precision: 0.0
 - Recall: 0.0
 - F1: 0.0
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
+| No log        | 1.0   | 54   | 0.3564          | 0.0       | 0.0    | 0.0 | 0.9256   |
+| No log        | 2.0   | 108  | 0.3274          | 0.0       | 0.0    | 0.0 | 0.9257   |
 ### Framework versions

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