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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0642
-- Accuracy: 0.9938
+- Loss: 0.2729
+- Accuracy: 0.9012
 
 ## Model description
 
@@ -49,25 +49,25 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.667         | 0.15  | 10   | 1.5755          | 0.1852   |
-| 1.6273        | 0.31  | 20   | 1.4802          | 0.5062   |
-| 1.4625        | 0.46  | 30   | 1.3254          | 0.5062   |
-| 1.3172        | 0.62  | 40   | 1.1584          | 0.6790   |
-| 1.1366        | 0.77  | 50   | 1.0171          | 0.7531   |
-| 1.0781        | 0.92  | 60   | 0.8179          | 0.9012   |
-| 0.8041        | 1.08  | 70   | 0.6580          | 0.9321   |
-| 0.7051        | 1.23  | 80   | 0.5066          | 0.9753   |
-| 0.5088        | 1.38  | 90   | 0.3851          | 0.9815   |
-| 0.4386        | 1.54  | 100  | 0.2989          | 0.9815   |
-| 0.3784        | 1.69  | 110  | 0.2258          | 0.9815   |
-| 0.269         | 1.85  | 120  | 0.1887          | 0.9630   |
-| 0.2459        | 2.0   | 130  | 0.1343          | 0.9877   |
-| 0.1593        | 2.15  | 140  | 0.1048          | 0.9877   |
-| 0.1441        | 2.31  | 150  | 0.0962          | 0.9877   |
-| 0.122         | 2.46  | 160  | 0.0832          | 0.9877   |
-| 0.0915        | 2.62  | 170  | 0.0701          | 0.9877   |
-| 0.0926        | 2.77  | 180  | 0.0690          | 0.9877   |
-| 0.086         | 2.92  | 190  | 0.0678          | 0.9877   |
+| 1.7972        | 0.15  | 10   | 1.7800          | 0.1180   |
+| 1.7665        | 0.31  | 20   | 1.7364          | 0.1180   |
+| 1.622         | 0.46  | 30   | 1.5860          | 0.5031   |
+| 1.4639        | 0.62  | 40   | 1.4145          | 0.5963   |
+| 1.4343        | 0.77  | 50   | 1.2146          | 0.6087   |
+| 1.1932        | 0.92  | 60   | 1.0479          | 0.6894   |
+| 0.987         | 1.08  | 70   | 0.8519          | 0.8509   |
+| 0.8341        | 1.23  | 80   | 0.7215          | 0.8509   |
+| 0.74          | 1.38  | 90   | 0.5984          | 0.8820   |
+| 0.7442        | 1.54  | 100  | 0.5217          | 0.8820   |
+| 0.5566        | 1.69  | 110  | 0.4474          | 0.8882   |
+| 0.4828        | 1.85  | 120  | 0.3901          | 0.8820   |
+| 0.4622        | 2.0   | 130  | 0.3447          | 0.8944   |
+| 0.4219        | 2.15  | 140  | 0.3367          | 0.8820   |
+| 0.3469        | 2.31  | 150  | 0.3202          | 0.8882   |
+| 0.2893        | 2.46  | 160  | 0.3041          | 0.8820   |
+| 0.3712        | 2.62  | 170  | 0.2991          | 0.8882   |
+| 0.3397        | 2.77  | 180  | 0.2891          | 0.8820   |
+| 0.3161        | 2.92  | 190  | 0.2897          | 0.8944   |
 
 
 ### Framework versions

config.json

@@ -8,21 +8,21 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "id2label": {
-    "0": "SBC",
+    "0": "Install",
     "1": "Change",
     "2": "No Match",
-    "3": "Compensation",
+    "3": "SBC",
     "4": "Terminate",
-    "5": "Install"
+    "5": "Compensation"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
     "Change": 1,
-    "Compensation": 3,
-    "Install": 5,
+    "Compensation": 5,
+    "Install": 0,
     "No Match": 2,
-    "SBC": 0,
+    "SBC": 3,
     "Terminate": 4
   },
   "layer_norm_eps": 1e-07,

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6b3c64b07eb7ed0bef32d90088835f65fdb46fa55870ecfc05898b4fce24c63a
+oid sha256:af1f0dd2cd33c1c8d15d5b57a48af199f82451727a9c2b41616876b640c9fc6f
 size 737731584