Initial model upload v7

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: 0.0470
-- Accuracy: 0.9907
+- Loss: 0.0437
+- Accuracy: 0.9931
 
 ## Model description
 
@@ -44,15 +44,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 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   |
+| No log        | 1.0   | 108  | 0.0413          | 0.9931   |
+| No log        | 2.0   | 216  | 0.0419          | 0.9931   |
+| No log        | 3.0   | 324  | 0.0554          | 0.9907   |
+| No log        | 4.0   | 432  | 0.0402          | 0.9931   |
+| 0.049         | 5.0   | 540  | 0.0437          | 0.9931   |
 
 
 ### Framework versions

model.safetensors

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 size 437975200

training_args.bin

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 size 5112