End of training

README.md

@@ -4,7 +4,9 @@ base_model: google-bert/bert-base-uncased
 tags:
 - generated_from_trainer
 metrics:
-- accuracy
+- precision
+- recall
+- f1
 model-index:
 - name: Taste-classifier
   results: []
@@ -15,10 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Taste-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: 1.0110
-- Accuracy: 0.4
+- Loss: 0.5559
+- Precision: 0.8683
+- Recall: 0.8149
+- F1: 0.8407
 
 ## Model description
 
@@ -47,11 +51,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 2    | 0.8436          | 0.2      |
-| No log        | 2.0   | 4    | 0.9527          | 0.4      |
-| No log        | 3.0   | 6    | 1.0110          | 0.4      |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
+| 0.5082        | 1.0   | 2375 | 0.4966          | 0.8112    | 0.8388 | 0.8247 |
+| 0.3802        | 2.0   | 4750 | 0.4398          | 0.8495    | 0.8163 | 0.8326 |
+| 0.3543        | 3.0   | 7125 | 0.5559          | 0.8683    | 0.8149 | 0.8407 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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runs/Apr05_14-40-46_965dfad45daa/events.out.tfevents.1712328054.965dfad45daa.34.0

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