End of training

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6822
-- Accuracy: 0.8252
-- F1: 0.8250
-- Precision: 0.8265
-- Recall: 0.8252
+- Loss: 0.4960
+- Accuracy: 0.8288
+- F1: 0.8286
+- Precision: 0.8303
+- Recall: 0.8288
 
 ## Model description
 
@@ -56,16 +56,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.5383        | 1.0   | 1407  | 0.4695          | 0.7768   | 0.7757 | 0.7825    | 0.7768 |
-| 0.4349        | 2.0   | 2814  | 0.5131          | 0.7584   | 0.7493 | 0.8022    | 0.7584 |
-| 0.3775        | 3.0   | 4221  | 0.4097          | 0.8132   | 0.8132 | 0.8133    | 0.8132 |
-| 0.3281        | 4.0   | 5628  | 0.4962          | 0.8148   | 0.8137 | 0.8227    | 0.8148 |
-| 0.2803        | 5.0   | 7035  | 0.4936          | 0.8076   | 0.8060 | 0.8183    | 0.8076 |
-| 0.2293        | 6.0   | 8442  | 0.5015          | 0.824    | 0.8237 | 0.8265    | 0.824  |
-| 0.1999        | 7.0   | 9849  | 0.5298          | 0.8224   | 0.8224 | 0.8224    | 0.8224 |
-| 0.1646        | 8.0   | 11256 | 0.5862          | 0.8232   | 0.8230 | 0.8247    | 0.8232 |
-| 0.1359        | 9.0   | 12663 | 0.6431          | 0.8248   | 0.8245 | 0.8268    | 0.8248 |
-| 0.1154        | 10.0  | 14070 | 0.6822          | 0.8252   | 0.8250 | 0.8265    | 0.8252 |
+| 0.5283        | 1.0   | 1407  | 0.4587          | 0.7804   | 0.7789 | 0.7883    | 0.7804 |
+| 0.4276        | 2.0   | 2814  | 0.4844          | 0.7708   | 0.7649 | 0.8012    | 0.7708 |
+| 0.3729        | 3.0   | 4221  | 0.4045          | 0.8216   | 0.8214 | 0.8232    | 0.8216 |
+| 0.314         | 4.0   | 5628  | 0.5072          | 0.8116   | 0.8098 | 0.8236    | 0.8116 |
+| 0.268         | 5.0   | 7035  | 0.5467          | 0.8036   | 0.8008 | 0.8215    | 0.8036 |
+| 0.2162        | 6.0   | 8442  | 0.4960          | 0.8288   | 0.8286 | 0.8303    | 0.8288 |
+| 0.1786        | 7.0   | 9849  | 0.5648          | 0.828    | 0.8280 | 0.8280    | 0.828  |
+| 0.1514        | 8.0   | 11256 | 0.6146          | 0.8232   | 0.8231 | 0.8240    | 0.8232 |
+| 0.127         | 9.0   | 12663 | 0.6901          | 0.8272   | 0.8270 | 0.8284    | 0.8272 |
+| 0.1041        | 10.0  | 14070 | 0.7387          | 0.8256   | 0.8253 | 0.8276    | 0.8256 |
 
 
 ### Framework versions

model.safetensors

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runs/Nov13_06-09-19_9204d24736b1/events.out.tfevents.1731478161.9204d24736b1.23.0

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runs/Nov13_06-09-19_9204d24736b1/events.out.tfevents.1731485215.9204d24736b1.23.1

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