drcoool
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modernbert-acceptance-classifier

Text Classification

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text-embeddings-inference

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drcoool commited on Jun 18

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@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4493
-- F1: 0.8870
 ## Model description
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step  | Validation Loss | F1     |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|
-| 0.2985        | 1.0   | 6000  | 0.3085          | 0.8823 |
-| 0.2798        | 2.0   | 12000 | 0.4493          | 0.8870 |
 ### Framework versions

 This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.5046
+- F1: 0.8547
 ## Model description
 | Training Loss | Epoch | Step  | Validation Loss | F1     |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 0.3047        | 1.0   | 7120  | 0.3880          | 0.8373 |
+| 0.1289        | 2.0   | 14240 | 0.5046          | 0.8547 |
 ### Framework versions