Initial model upload v6

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0397
-- Accuracy: 0.9931
+- Loss: 0.0470
+- Accuracy: 0.9907
 
 ## Model description
 
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 108  | 0.0516          | 0.9861   |
-| No log        | 2.0   | 216  | 0.0469          | 0.9907   |
-| No log        | 3.0   | 324  | 0.0397          | 0.9931   |
+| No log        | 1.0   | 108  | 0.1248          | 0.9722   |
+| No log        | 2.0   | 216  | 0.0391          | 0.9907   |
+| No log        | 3.0   | 324  | 0.0470          | 0.9907   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:be5ba4edce1b50ccc35d42ec7af4286045f77b15e65c3876113de73542702481
+oid sha256:9b2f9b587cf736f35a6b8976ec349181ba261a454e09bcb3363ebb48cf7ee89d
 size 437975200