End of training

README.md

@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Appearance-classifier-with-ratings
 
-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: 1.8885
-- Accuracy: 0.4
-- Recall: 0.4
-- Precision: 0.4
-- F1: 0.4000
+- Loss: 1.5312
+- Accuracy: 0.4029
+- Recall: 0.4029
+- Precision: 0.4029
+- F1: 0.4029
 
 ## Model description
 
@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | Precision | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| No log        | 1.0   | 2    | 1.9131          | 0.4      | 0.4    | 0.4       | 0.4000 |
-| No log        | 2.0   | 4    | 1.8854          | 0.4      | 0.4    | 0.4       | 0.4000 |
-| No log        | 3.0   | 6    | 1.8885          | 0.4      | 0.4    | 0.4       | 0.4000 |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Recall | Precision | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 1.4455        | 1.0   | 5000  | 1.4442          | 0.3914   | 0.3914 | 0.3914    | 0.3914 |
+| 1.3156        | 2.0   | 10000 | 1.4637          | 0.3976   | 0.3976 | 0.3976    | 0.3976 |
+| 1.1218        | 3.0   | 15000 | 1.5312          | 0.4029   | 0.4029 | 0.4029    | 0.4029 |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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