End of training

README.md

@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Taste-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: 2.0716
-- Accuracy: 0.5
-- Recall: 0.5
-- Precision: 0.5
-- F1: 0.5
+- Loss: 1.4503
+- Accuracy: 0.4499
+- Recall: 0.4499
+- Precision: 0.4499
+- F1: 0.4499
 
 ## 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    | 2.1220          | 0.3      | 0.3    | 0.3       | 0.3 |
-| No log        | 2.0   | 4    | 2.0657          | 0.6      | 0.6    | 0.6       | 0.6 |
-| No log        | 3.0   | 6    | 2.0716          | 0.5      | 0.5    | 0.5       | 0.5 |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Recall | Precision | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 1.3342        | 1.0   | 5000  | 1.3867          | 0.4103   | 0.4103 | 0.4103    | 0.4103 |
+| 1.1525        | 2.0   | 10000 | 1.3346          | 0.4499   | 0.4499 | 0.4499    | 0.4499 |
+| 0.8997        | 3.0   | 15000 | 1.4503          | 0.4499   | 0.4499 | 0.4499    | 0.4499 |
 
 
 ### Framework versions

model.safetensors

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runs/Apr13_15-09-04_427ae9b2499d/events.out.tfevents.1713020949.427ae9b2499d.34.0

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training_args.bin

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