End of training

README.md

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [vitus9988/klue-roberta-small-ner-identified](https://huggingface.co/vitus9988/klue-roberta-small-ner-identified) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1304
-- Precision: 0.9222
-- Recall: 0.9520
-- F1: 0.9369
-- Accuracy: 0.9790
+- Loss: 0.0082
+- Precision: 0.9930
+- Recall: 0.9988
+- F1: 0.9959
+- Accuracy: 0.9988
 
 ## Model description
 
@@ -48,20 +48,15 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 8
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 4    | 0.8023          | 0.1377    | 0.1231 | 0.1300 | 0.9178   |
-| No log        | 2.0   | 8    | 0.4197          | 0.5419    | 0.5580 | 0.5498 | 0.9431   |
-| No log        | 3.0   | 12   | 0.2760          | 0.6764    | 0.7146 | 0.6950 | 0.9564   |
-| No log        | 4.0   | 16   | 0.2062          | 0.7835    | 0.8544 | 0.8174 | 0.9617   |
-| No log        | 5.0   | 20   | 0.1685          | 0.8299    | 0.8946 | 0.8610 | 0.9711   |
-| No log        | 6.0   | 24   | 0.1470          | 0.8854    | 0.9295 | 0.9069 | 0.9758   |
-| No log        | 7.0   | 28   | 0.1350          | 0.9138    | 0.9460 | 0.9297 | 0.9778   |
-| No log        | 8.0   | 32   | 0.1304          | 0.9222    | 0.9520 | 0.9369 | 0.9790   |
+| No log        | 1.0   | 61   | 0.0128          | 0.9871    | 0.9929 | 0.9900 | 0.9979   |
+| No log        | 2.0   | 122  | 0.0098          | 0.9895    | 0.9976 | 0.9935 | 0.9987   |
+| No log        | 3.0   | 183  | 0.0082          | 0.9930    | 0.9988 | 0.9959 | 0.9988   |
 
 
 ### Framework versions