End of training

README.md

@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Appearance-classifier
 
-This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
+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: 0.6928
-- Accuracy: 0.6
+- Loss: 0.6931
+- Accuracy: 0.51
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 2    | 0.6862          | 0.6      |
-| No log        | 2.0   | 4    | 0.6924          | 0.6      |
-| No log        | 3.0   | 6    | 0.6928          | 0.6      |
+| 0.7013        | 1.0   | 2375 | 0.6953          | 0.49     |
+| 0.6954        | 2.0   | 4750 | 0.6944          | 0.51     |
+| 0.6961        | 3.0   | 7125 | 0.6931          | 0.51     |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 437958648

runs/Apr05_11-05-36_f0ed2d552d05/events.out.tfevents.1712315142.f0ed2d552d05.34.0

@@ -1,3 +1,3 @@
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