End of training

README.md

@@ -13,6 +13,14 @@ should probably proofread and complete it, then remove this comment. -->
 # bartpho-word-base-ed-multi-v2
 
 This model is a fine-tuned version of [vinai/bartpho-word-base](https://huggingface.co/vinai/bartpho-word-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0265
+- F1 Micro: 0.8088
+- Recall Micro: 0.8070
+- Precision Micro: 0.8106
+- F1 Macro: 0.6254
+- Recall Macro: 0.6672
+- Precision Macro: 0.6084
 
 ## Model description
 
@@ -39,13 +47,17 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | F1 Micro | Recall Micro | Precision Micro | F1 Macro | Recall Macro | Precision Macro |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:------------:|:---------------:|:--------:|:------------:|:---------------:|
-| No log        | 0.9987 | 393  | 0.0163          | 0.7708   | 0.7901       | 0.7524          | 0.3559   | 0.3893       | 0.3797          |
+| No log        | 0.9987 | 393  | 0.0251          | 0.8059   | 0.8110       | 0.8008          | 0.5082   | 0.5352       | 0.5171          |
+| 0.0227        | 2.0    | 787  | 0.0252          | 0.7931   | 0.7957       | 0.7906          | 0.5909   | 0.6664       | 0.5631          |
+| 0.017         | 2.9987 | 1180 | 0.0249          | 0.8006   | 0.8036       | 0.7977          | 0.6057   | 0.6286       | 0.6096          |
+| 0.013         | 4.0    | 1574 | 0.0260          | 0.8040   | 0.7996       | 0.8085          | 0.6024   | 0.6257       | 0.6028          |
+| 0.013         | 4.9936 | 1965 | 0.0265          | 0.8088   | 0.8070       | 0.8106          | 0.6254   | 0.6672       | 0.6084          |
 
 
 ### Framework versions