End of training

README.md

@@ -3,6 +3,11 @@ license: mit
 base_model: microsoft/deberta-v3-small
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
 model-index:
 - name: my_model
   results: []
@@ -15,7 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2349
+- Loss: 0.1746
+- Accuracy: 0.9589
+- F1: 0.8034
+- Precision: 1.0
+- Recall: 0.6714
 
 ## Model description
 
@@ -44,18 +53,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 16   | 0.4170          |
-| No log        | 2.0   | 32   | 0.3749          |
-| No log        | 3.0   | 48   | 0.3703          |
-| No log        | 4.0   | 64   | 0.3493          |
-| No log        | 5.0   | 80   | 0.3248          |
-| No log        | 6.0   | 96   | 0.2963          |
-| No log        | 7.0   | 112  | 0.2721          |
-| No log        | 8.0   | 128  | 0.2515          |
-| No log        | 9.0   | 144  | 0.2393          |
-| No log        | 10.0  | 160  | 0.2349          |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| No log        | 1.0   | 14   | 0.4759          | 0.875    | 0.0    | 0.0       | 0.0    |
+| No log        | 2.0   | 28   | 0.3609          | 0.875    | 0.0    | 0.0       | 0.0    |
+| No log        | 3.0   | 42   | 0.3394          | 0.875    | 0.0    | 0.0       | 0.0    |
+| No log        | 4.0   | 56   | 0.3070          | 0.875    | 0.0    | 0.0       | 0.0    |
+| No log        | 5.0   | 70   | 0.2768          | 0.875    | 0.0    | 0.0       | 0.0    |
+| No log        | 6.0   | 84   | 0.2432          | 0.8893   | 0.2051 | 1.0       | 0.1143 |
+| No log        | 7.0   | 98   | 0.2159          | 0.9071   | 0.4091 | 1.0       | 0.2571 |
+| No log        | 8.0   | 112  | 0.1946          | 0.9429   | 0.7037 | 1.0       | 0.5429 |
+| No log        | 9.0   | 126  | 0.1798          | 0.9554   | 0.7826 | 1.0       | 0.6429 |
+| No log        | 10.0  | 140  | 0.1746          | 0.9589   | 0.8034 | 1.0       | 0.6714 |
 
 
 ### Framework versions

config.json

@@ -10,7 +10,7 @@
   "id2label": {
     "0": "N/D",
     "1": "staff",
-    "2": "garments",
+    "2": "clothes",
     "3": "shop",
     "4": "cash desk",
     "5": "fitting rooms",
@@ -22,8 +22,8 @@
   "label2id": {
     "N/D": 0,
     "cash desk": 4,
+    "clothes": 2,
     "fitting rooms": 5,
-    "garments": 2,
     "others": 7,
     "queue": 6,
     "shop": 3,

model.safetensors

@@ -1,3 +1,3 @@
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training_args.bin

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