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 [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3393
-- Accuracy: 0.906
+- Loss: 0.0001
+- Accuracy: 1.0
 
 ## Model description
 
@@ -48,18 +48,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.4065        | 1.0   | 2534  | 0.3199          | 0.906    |
-| 0.3902        | 2.0   | 5068  | 0.4198          | 0.906    |
-| 0.3829        | 3.0   | 7602  | 0.3636          | 0.906    |
-| 0.3835        | 4.0   | 10136 | 0.3555          | 0.906    |
-| 0.3816        | 5.0   | 12670 | 0.3971          | 0.906    |
-| 0.3737        | 6.0   | 15204 | 0.3263          | 0.906    |
-| 0.3684        | 7.0   | 17738 | 0.3347          | 0.906    |
-| 0.3621        | 8.0   | 20272 | 0.3378          | 0.906    |
-| 0.3607        | 9.0   | 22806 | 0.3670          | 0.906    |
-| 0.3664        | 10.0  | 25340 | 0.3393          | 0.906    |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1348        | 1.0   | 350  | 0.0084          | 0.998    |
+| 0.0214        | 2.0   | 700  | 0.0020          | 1.0      |
+| 0.017         | 3.0   | 1050 | 0.0094          | 0.997    |
+| 0.0117        | 4.0   | 1400 | 0.0005          | 1.0      |
+| 0.0127        | 5.0   | 1750 | 0.0003          | 1.0      |
+| 0.0099        | 6.0   | 2100 | 0.0004          | 1.0      |
+| 0.0079        | 7.0   | 2450 | 0.0002          | 1.0      |
+| 0.0052        | 8.0   | 2800 | 0.0002          | 1.0      |
+| 0.0047        | 9.0   | 3150 | 0.0001          | 1.0      |
+| 0.006         | 10.0  | 3500 | 0.0001          | 1.0      |
 
 
 ### Framework versions

config.json

@@ -11,13 +11,11 @@
   "hidden_size": 768,
   "id2label": {
     "0": "gardening",
-    "1": "furniture",
-    "2": "e-commerce"
+    "1": "furniture"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "e-commerce": 2,
     "furniture": 1,
     "gardening": 0
   },

model.safetensors

@@ -1,3 +1,3 @@
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-size 437961724
+oid sha256:157625eab85d9bae5ffd73be5a309e9ae4345de2c2a3fbacd493c3bbe34d13ae
+size 437958648

runs/Oct29_14-17-12_e7ef80ecc11b/events.out.tfevents.1761747436.e7ef80ecc11b.202.10

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+size 10855

training_args.bin

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 size 5841