Model save

README.md

@@ -15,7 +15,7 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5630
+- Loss: 0.9863
 
 ## Model description
 
@@ -40,17 +40,22 @@ 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: 5
+- num_epochs: 10
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 0.8074        | 1.0   | 1828 | 0.9913          |
-| 0.4377        | 2.0   | 3656 | 0.6934          |
-| 0.3115        | 3.0   | 5484 | 0.5805          |
-| 0.2215        | 4.0   | 7312 | 0.5838          |
-| 0.1594        | 5.0   | 9140 | 0.5630          |
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.7812        | 1.0   | 1828  | 0.9348          |
+| 0.4504        | 2.0   | 3656  | 0.7760          |
+| 0.331         | 3.0   | 5484  | 0.6675          |
+| 0.2598        | 4.0   | 7312  | 0.6908          |
+| 0.1981        | 5.0   | 9140  | 0.6874          |
+| 0.1503        | 6.0   | 10968 | 0.7792          |
+| 0.1196        | 7.0   | 12796 | 0.8088          |
+| 0.093         | 8.0   | 14624 | 0.8430          |
+| 0.0709        | 9.0   | 16452 | 0.9185          |
+| 0.0554        | 10.0  | 18280 | 0.9863          |
 
 
 ### Framework versions

runs/Nov07_15-48-22_573252ac4f9b/events.out.tfevents.1699392913.573252ac4f9b.580.1

@@ -0,0 +1,3 @@
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+oid sha256:71db2ee2e849d2c5c5886a33d0c69efb3002dae67cde1ff651bafa6f38773278
+size 364