End of training

README.md

@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Palate-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: 2.1612
-- Accuracy: 0.2
-- Recall: 0.2
-- Precision: 0.2
-- F1: 0.2000
+- Loss: 1.5897
+- Accuracy: 0.4006
+- Recall: 0.4006
+- Precision: 0.4006
+- F1: 0.4006
 
 ## 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    | 2.1063          | 0.3      | 0.3    | 0.3       | 0.3    |
-| No log        | 2.0   | 4    | 2.1886          | 0.2      | 0.2    | 0.2       | 0.2000 |
-| No log        | 3.0   | 6    | 2.1612          | 0.2      | 0.2    | 0.2       | 0.2000 |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Recall | Precision | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 1.4528        | 1.0   | 5000  | 1.4438          | 0.3867   | 0.3867 | 0.3867    | 0.3867 |
+| 1.2881        | 2.0   | 10000 | 1.4323          | 0.4071   | 0.4071 | 0.4071    | 0.4071 |
+| 0.993         | 3.0   | 15000 | 1.5897          | 0.4006   | 0.4006 | 0.4006    | 0.4006 |
 
 
 ### Framework versions

model.safetensors

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runs/Apr13_01-47-07_cb5b29b4784f/events.out.tfevents.1712972882.cb5b29b4784f.34.0

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training_args.bin

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