End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0035
-- Accuracy: 1.0
+- Loss: 0.0685
+- Accuracy: 0.9674
 
 ## Model description
 
@@ -43,16 +43,15 @@ 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: 4
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 49   | 0.2100          | 0.9383   |
-| No log        | 2.0   | 98   | 0.0080          | 1.0      |
-| No log        | 3.0   | 147  | 0.0204          | 0.9877   |
-| No log        | 4.0   | 196  | 0.0035          | 1.0      |
+| No log        | 1.0   | 56   | 0.1019          | 0.9783   |
+| No log        | 2.0   | 112  | 0.0971          | 0.9565   |
+| No log        | 3.0   | 168  | 0.0685          | 0.9674   |
 
 
 ### Framework versions

model.safetensors

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runs/Feb13_12-41-59_37b12c002c60/events.out.tfevents.1707828120.37b12c002c60.1195.4

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