End of training

README.md

@@ -14,9 +14,9 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [skt/kogpt2-base-v2](https://huggingface.co/skt/kogpt2-base-v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 2.7142
-- Validation Loss: 1.8683
-- Epoch: 0
+- Train Loss: 0.3184
+- Validation Loss: 1.4046
+- Epoch: 15
 
 ## Model description
 
@@ -35,7 +35,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- optimizer: {'name': 'Adam', 'learning_rate': 2.2999999e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
 - training_precision: float32
 
 ### Training results
@@ -43,6 +43,21 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
 | 2.7142     | 1.8683          | 0     |
+| 1.6077     | 1.4417          | 1     |
+| 1.2458     | 1.3161          | 2     |
+| 1.0396     | 1.2704          | 3     |
+| 0.8848     | 1.2818          | 4     |
+| 0.7634     | 1.2579          | 5     |
+| 0.6699     | 1.2724          | 6     |
+| 0.5948     | 1.2718          | 7     |
+| 0.5306     | 1.3300          | 8     |
+| 0.4832     | 1.3377          | 9     |
+| 0.4401     | 1.3038          | 10    |
+| 0.4053     | 1.3622          | 11    |
+| 0.3782     | 1.3577          | 12    |
+| 0.3550     | 1.3696          | 13    |
+| 0.3347     | 1.3682          | 14    |
+| 0.3184     | 1.4046          | 15    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f11a6a5bdf24a589cec9ca2b2c1ec0943316ac4ddcf2585d3f34d06cd5670cd1
+oid sha256:a0e3685ca3da085c7a5adf77d1a4e8bea7f2ddaec2630aa54ebf78cec23844d2
 size 658153136