End of training

README.md

@@ -3,7 +3,10 @@ base_model: vinai/phobert-base-v2
 tags:
 - generated_from_trainer
 metrics:
-- matthews_correlation
+- accuracy
+- f1
+- precision
+- recall
 model-index:
 - name: phobert-base-v2-finetuned-cola
   results: []
@@ -16,8 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2267
-- Matthews Correlation: 0.8593
+- Loss: 0.4604
+- Accuracy: 0.9018
+- F1: 0.9034
+- Precision: 0.9080
+- Recall: 0.9018
 
 ## Model description
 
@@ -46,18 +52,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
-|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
-| No log        | 1.0   | 45   | 0.3137          | 0.6724               |
-| No log        | 2.0   | 90   | 0.2182          | 0.8019               |
-| No log        | 3.0   | 135  | 0.2210          | 0.7962               |
-| No log        | 4.0   | 180  | 0.1678          | 0.8521               |
-| No log        | 5.0   | 225  | 0.1886          | 0.8420               |
-| No log        | 6.0   | 270  | 0.1851          | 0.8560               |
-| No log        | 7.0   | 315  | 0.2300          | 0.8356               |
-| No log        | 8.0   | 360  | 0.2267          | 0.8593               |
-| No log        | 9.0   | 405  | 0.2221          | 0.8583               |
-| No log        | 10.0  | 450  | 0.2767          | 0.8153               |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| No log        | 1.0   | 39   | 1.1866          | 0.8474   | 0.8536 | 0.8922    | 0.8474 |
+| No log        | 2.0   | 78   | 0.8260          | 0.8632   | 0.8683 | 0.8967    | 0.8632 |
+| No log        | 3.0   | 117  | 0.4604          | 0.9018   | 0.9034 | 0.9080    | 0.9018 |
+| No log        | 4.0   | 156  | 0.6405          | 0.8912   | 0.8927 | 0.8962    | 0.8912 |
+| No log        | 5.0   | 195  | 0.6415          | 0.8895   | 0.8909 | 0.8941    | 0.8895 |
+| No log        | 6.0   | 234  | 0.6742          | 0.9053   | 0.9074 | 0.9157    | 0.9053 |
+| No log        | 7.0   | 273  | 0.8472          | 0.8719   | 0.8762 | 0.8971    | 0.8719 |
+| No log        | 8.0   | 312  | 0.7390          | 0.8947   | 0.8975 | 0.9086    | 0.8947 |
+| No log        | 9.0   | 351  | 0.7700          | 0.8930   | 0.8958 | 0.9074    | 0.8930 |
+| No log        | 10.0  | 390  | 0.7635          | 0.8930   | 0.8958 | 0.9074    | 0.8930 |
 
 
 ### Framework versions

model.safetensors

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runs/Feb16_07-24-10_5e6c71033168/events.out.tfevents.1708068935.5e6c71033168.330.5

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runs/Feb16_07-24-10_5e6c71033168/events.out.tfevents.1708069436.5e6c71033168.330.6

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