End of training

README.md

@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Aroma-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: 2.3035
-- Accuracy: 0.0
-- Recall: 0.0
-- Precision: 0.0
-- F1: 0.0
+- Loss: 1.4821
+- Accuracy: 0.3905
+- Recall: 0.3905
+- Precision: 0.3905
+- F1: 0.3905
 
 ## 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    | 2.2485          | 0.0      | 0.0    | 0.0       | 0.0 |
-| No log        | 2.0   | 4    | 2.3052          | 0.0      | 0.0    | 0.0       | 0.0 |
-| No log        | 3.0   | 6    | 2.3035          | 0.0      | 0.0    | 0.0       | 0.0 |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Recall | Precision | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 1.5528        | 1.0   | 5000  | 1.5584          | 0.3617   | 0.3617 | 0.3617    | 0.3617 |
+| 1.4383        | 2.0   | 10000 | 1.4596          | 0.3883   | 0.3883 | 0.3883    | 0.3883 |
+| 1.302         | 3.0   | 15000 | 1.4821          | 0.3905   | 0.3905 | 0.3905    | 0.3905 |
 
 
 ### Framework versions

model.safetensors

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runs/Apr12_17-04-01_9fdfd12d2308/events.out.tfevents.1712941448.9fdfd12d2308.34.0

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training_args.bin

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