fhjhl
/

my_awesome_model

Text Classification

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text-embeddings-inference

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fhjhl commited on Mar 26, 2024

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7d76619

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1 Parent(s): 900ab84

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README.md +12 -12
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README.md CHANGED Viewed

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3700
-- Accuracy: 0.8629
 ## Model description
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 192  | 0.3671          | 0.8407   |
-| No log        | 2.0   | 384  | 0.4021          | 0.8590   |
-| 0.3276        | 3.0   | 576  | 0.3683          | 0.8590   |
-| 0.3276        | 4.0   | 768  | 0.3776          | 0.8616   |
-| 0.3276        | 5.0   | 960  | 0.3845          | 0.8629   |
-| 0.2906        | 6.0   | 1152 | 0.3706          | 0.8642   |
-| 0.2906        | 7.0   | 1344 | 0.3638          | 0.8629   |
-| 0.2827        | 8.0   | 1536 | 0.3620          | 0.8616   |
-| 0.2827        | 9.0   | 1728 | 0.3735          | 0.8603   |
-| 0.2827        | 10.0  | 1920 | 0.3700          | 0.8629   |
 ### Framework versions

 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.3837
+- Accuracy: 0.8642
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 192  | 0.4443          | 0.8407   |
+| No log        | 2.0   | 384  | 0.4431          | 0.8407   |
+| 0.3652        | 3.0   | 576  | 0.4471          | 0.8407   |
+| 0.3652        | 4.0   | 768  | 0.3579          | 0.8642   |
+| 0.3652        | 5.0   | 960  | 0.3823          | 0.8642   |
+| 0.3287        | 6.0   | 1152 | 0.3654          | 0.8642   |
+| 0.3287        | 7.0   | 1344 | 0.3694          | 0.8642   |
+| 0.2929        | 8.0   | 1536 | 0.3688          | 0.8642   |
+| 0.2929        | 9.0   | 1728 | 0.3817          | 0.8642   |
+| 0.2929        | 10.0  | 1920 | 0.3837          | 0.8642   |
 ### Framework versions

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