Training in progress epoch 0

README.md

@@ -14,9 +14,9 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [gogamza/kobart-base-v2](https://huggingface.co/gogamza/kobart-base-v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.6073
-- Validation Loss: 0.6306
-- Epoch: 13
+- Train Loss: 4.3868
+- Validation Loss: 1.8720
+- Epoch: 0
 
 ## Model description
 
@@ -42,20 +42,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 4.8609     | 2.3349          | 0     |
-| 1.7096     | 1.1039          | 1     |
-| 1.0714     | 0.8849          | 2     |
-| 0.9080     | 0.8250          | 3     |
-| 0.8328     | 0.7822          | 4     |
-| 0.7849     | 0.7176          | 5     |
-| 0.7494     | 0.7498          | 6     |
-| 0.7366     | 0.6844          | 7     |
-| 0.6868     | 0.6599          | 8     |
-| 0.6723     | 0.6517          | 9     |
-| 0.6521     | 0.6092          | 10    |
-| 0.6420     | 0.6290          | 11    |
-| 0.6119     | 0.6265          | 12    |
-| 0.6073     | 0.6306          | 13    |
+| 4.3868     | 1.8720          | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:11aaba47939b5850eef0bb03daffa93f1770fc8a097d7d53b04f7e278ebb0712
 size 495849544