End of training

README.md

@@ -19,7 +19,7 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: nan
-- F1: 0.0049
+- F1: 0.0042
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 29   | nan             | 0.0049 |
-| No log        | 2.0   | 58   | nan             | 0.0049 |
-| No log        | 3.0   | 87   | nan             | 0.0049 |
-| 0.0           | 4.0   | 116  | nan             | 0.0049 |
-| 0.0           | 5.0   | 145  | nan             | 0.0049 |
+| No log        | 1.0   | 29   | nan             | 0.0042 |
+| No log        | 2.0   | 58   | nan             | 0.0042 |
+| No log        | 3.0   | 87   | nan             | 0.0042 |
+| 0.0           | 4.0   | 116  | nan             | 0.0042 |
+| 0.0           | 5.0   | 145  | nan             | 0.0042 |
 
 
 ### Framework versions
@@ -62,4 +62,4 @@ The following hyperparameters were used during training:
 - Transformers 4.48.0.dev0
 - Pytorch 2.5.0+cu124
 - Datasets 3.1.0
-- Tokenizers 0.21.1
+- Tokenizers 0.21.2

runs/Jul06_20-42-07_5f7053b8062b/events.out.tfevents.1751834536.5f7053b8062b.6468.0

@@ -1,3 +1,3 @@
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-size 8682
+oid sha256:267235e5072841fe54adc39c1dd4fed8c253bb7ff0c79f09c0eefd5f301a1cb9
+size 9353