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: 0.4711
-- Accuracy: 0.8232
-- F1: 0.8232
-- Precision: 0.8234
-- Recall: 0.8232
+- Loss: 0.6822
+- Accuracy: 0.8252
+- F1: 0.8250
+- Precision: 0.8265
+- Recall: 0.8252
 
 ## Model description
 
@@ -45,8 +45,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -56,16 +56,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.4875        | 1.0   | 2813  | 0.4647          | 0.7732   | 0.7712 | 0.7832    | 0.7732 |
-| 0.426         | 2.0   | 5626  | 0.4987          | 0.7736   | 0.7685 | 0.7999    | 0.7736 |
-| 0.3703        | 3.0   | 8439  | 0.4647          | 0.8012   | 0.7999 | 0.8094    | 0.8012 |
-| 0.3185        | 4.0   | 11252 | 0.4711          | 0.8232   | 0.8232 | 0.8234    | 0.8232 |
-| 0.2738        | 5.0   | 14065 | 0.5240          | 0.8176   | 0.8169 | 0.8228    | 0.8176 |
-| 0.2279        | 6.0   | 16878 | 0.5875          | 0.8164   | 0.8164 | 0.8164    | 0.8164 |
-| 0.1935        | 7.0   | 19691 | 0.7180          | 0.8196   | 0.8194 | 0.8209    | 0.8196 |
-| 0.1671        | 8.0   | 22504 | 0.8426          | 0.8208   | 0.8205 | 0.8232    | 0.8208 |
-| 0.1357        | 9.0   | 25317 | 0.8800          | 0.8216   | 0.8216 | 0.8216    | 0.8216 |
-| 0.1073        | 10.0  | 28130 | 0.9236          | 0.8148   | 0.8148 | 0.8150    | 0.8148 |
+| 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 |
 
 
 ### Framework versions

runs/Nov13_03-27-12_66a0168ab93c/events.out.tfevents.1731468433.66a0168ab93c.30.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:42a7642fe8220a1ceec10770e3916f0875bdbc5fb3727c95d503fefc68d70d18
-size 15161
+oid sha256:ffd41ddcafded5891daca31c095094a623a183285fcacf36d7549132c92889e7
+size 15987

runs/Nov13_03-27-12_66a0168ab93c/events.out.tfevents.1731475420.66a0168ab93c.30.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:89ebc22cbec8da0bfbdcd18d5477c358005e78888d2bd9f19a52ff46d812e02d
+size 560