📝 Added model card after best checkpoint

README.md

@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [tbs17/MathBERT](https://huggingface.co/tbs17/MathBERT) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9498
-- Micro F1: 0.8411
+- Loss: 0.9505
+- Micro F1: 0.8437
 
 ## Model description
 
@@ -57,11 +57,11 @@ The following hyperparameters were used during training:
 | 1.2886        | 1.0   | 1083 | 0.8944          | 0.8051   |
 | 0.8314        | 2.0   | 2166 | 0.8812          | 0.8182   |
 | 0.6888        | 3.0   | 3249 | 0.8701          | 0.8411   |
-| 0.5976        | 4.0   | 4332 | 0.9158          | 0.8352   |
-| 0.5409        | 5.0   | 5415 | 0.9440          | 0.8332   |
-| 0.5081        | 6.0   | 6498 | 0.9423          | 0.8424   |
-| 0.4912        | 7.0   | 7581 | 0.9543          | 0.8417   |
-| 0.4855        | 8.0   | 8664 | 0.9498          | 0.8411   |
+| 0.598         | 4.0   | 4332 | 0.9151          | 0.8352   |
+| 0.5407        | 5.0   | 5415 | 0.9424          | 0.8339   |
+| 0.5081        | 6.0   | 6498 | 0.9387          | 0.8457   |
+| 0.4908        | 7.0   | 7581 | 0.9565          | 0.8424   |
+| 0.4857        | 8.0   | 8664 | 0.9505          | 0.8437   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:bd3d1a8dbf142a11367ac29a1ec705dcce3dfc916ff91f35ef8896302b5b50d0
 size 437977104