jjing0123
/

kogpt2-base-v2-finetuned-klue-ner

Token Classification

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jjing0123 commited on May 3, 2023

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update model card README.md

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@@ -52,8 +52,8 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 24
-- eval_batch_size: 24
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | F1  |
 |:-------------:|:-----:|:----:|:---------------:|:---:|
-| 0.0           | 1.0   | 876  | nan             | 0.0 |
-| 0.0           | 2.0   | 1752 | nan             | 0.0 |
-| 0.0           | 3.0   | 2628 | nan             | 0.0 |
 ### Framework versions

 The following hyperparameters were used during training:
 - learning_rate: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 | Training Loss | Epoch | Step | Validation Loss | F1  |
 |:-------------:|:-----:|:----:|:---------------:|:---:|
+| 0.0           | 1.0   | 1313 | nan             | 0.0 |
+| 0.0           | 2.0   | 2626 | nan             | 0.0 |
+| 0.0           | 3.0   | 3939 | nan             | 0.0 |
 ### Framework versions