End of training

README.md

@@ -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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: nan
-- F1: 0.0009
+- Loss: 0.3115
+- F1: 0.9113
 
 ## Model description
 
@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 29   | nan             | 0.0009 |
-| No log        | 2.0   | 58   | nan             | 0.0009 |
-| No log        | 3.0   | 87   | nan             | 0.0009 |
-| 0.0           | 4.0   | 116  | nan             | 0.0009 |
-| 0.0           | 5.0   | 145  | nan             | 0.0009 |
+| No log        | 1.0   | 29   | 0.5950          | 0.8424 |
+| No log        | 2.0   | 58   | 0.3520          | 0.9044 |
+| No log        | 3.0   | 87   | 0.3416          | 0.9144 |
+| 0.7021        | 4.0   | 116  | 0.3338          | 0.9122 |
+| 0.7021        | 5.0   | 145  | 0.3115          | 0.9113 |
 
 
 ### Framework versions
 
 - Transformers 4.48.0.dev0
-- Pytorch 2.5.0+cu124
+- Pytorch 2.6.0+cu124
 - Datasets 3.1.0
 - Tokenizers 0.21.2

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:1fcf4b5e2148f2c891c6e9a0ed390cbd2b9794f68a3e050306deb499e783b7dc
 size 598513616