End of training

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [MoritzLaurer/deberta-v3-large-zeroshot-v2.0](https://huggingface.co/MoritzLaurer/deberta-v3-large-zeroshot-v2.0) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5660
-- Accuracy: 0.6187
+- Loss: 1.6476
+- Accuracy: 0.6087
 
 ## Model description
 
@@ -51,12 +51,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 70   | 0.9762          | 0.5920   |
-| No log        | 2.0   | 140  | 0.9839          | 0.6421   |
-| No log        | 3.0   | 210  | 1.1718          | 0.6254   |
-| No log        | 4.0   | 280  | 1.4306          | 0.6221   |
-| No log        | 5.0   | 350  | 1.5517          | 0.6154   |
-| No log        | 6.0   | 420  | 1.5660          | 0.6187   |
+| No log        | 1.0   | 70   | 0.9709          | 0.6421   |
+| No log        | 2.0   | 140  | 1.0093          | 0.6321   |
+| No log        | 3.0   | 210  | 1.2280          | 0.6455   |
+| No log        | 4.0   | 280  | 1.4439          | 0.6355   |
+| No log        | 5.0   | 350  | 1.6110          | 0.6120   |
+| No log        | 6.0   | 420  | 1.6476          | 0.6087   |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:3f9f1d8714f2e896011b19d84c3e7514e7cb0d2c9ba724fe1a679a6952babbb2
 size 3164340