starmodel

README.md

@@ -21,11 +21,11 @@ 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: 0.3786
-- Accuracy: 0.9219
-- Precision: 0.9256
-- Recall: 0.9219
-- F1: 0.9214
+- Loss: 0.5338
+- Accuracy: 0.8438
+- Precision: 0.8698
+- Recall: 0.8438
+- F1: 0.8463
 
 ## Model description
 
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 1.2882        | 1.0   | 16   | 0.5571          | 0.8438   | 0.8726    | 0.8438 | 0.8450 |
-| 0.2007        | 2.0   | 32   | 0.4352          | 0.8906   | 0.9051    | 0.8906 | 0.8929 |
-| 0.0485        | 3.0   | 48   | 0.3786          | 0.9219   | 0.9256    | 0.9219 | 0.9214 |
+| 1.3677        | 1.0   | 16   | 0.7555          | 0.7188   | 0.7431    | 0.7188 | 0.7164 |
+| 0.3335        | 2.0   | 32   | 0.5208          | 0.7969   | 0.8298    | 0.7969 | 0.8007 |
+| 0.1326        | 3.0   | 48   | 0.5338          | 0.8438   | 0.8698    | 0.8438 | 0.8463 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 598445936