End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: mit
-base_model: yomilimi/Gyeongsang_decoder
+base_model: gogamza/kobart-base-v2
 tags:
 - generated_from_trainer
 metrics:
@@ -15,11 +15,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Jeolla_encoder
 
-This model is a fine-tuned version of [yomilimi/Gyeongsang_decoder](https://huggingface.co/yomilimi/Gyeongsang_decoder) on the None dataset.
+This model is a fine-tuned version of [gogamza/kobart-base-v2](https://huggingface.co/gogamza/kobart-base-v2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0126
-- Bleu: 89.0253
-- Gen Len: 14.0976
+- Loss: 0.0132
+- Bleu: 89.0781
+- Gen Len: 14.0615
 
 ## Model description
 
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
 |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
-| 0.0152        | 1.0   | 15477 | 0.0140          | 88.7453 | 14.1001 |
-| 0.0133        | 2.0   | 30954 | 0.0130          | 88.9598 | 14.0964 |
-| 0.0109        | 3.0   | 46431 | 0.0126          | 89.0253 | 14.0976 |
+| 0.0168        | 1.0   | 15477 | 0.0157          | 88.8862 | 14.0583 |
+| 0.0143        | 2.0   | 30954 | 0.0136          | 89.0198 | 14.0637 |
+| 0.0123        | 3.0   | 46431 | 0.0132          | 89.0781 | 14.0615 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c8024f09c69ebf00d3d8d9144632c2031da1f8d767f83b345daed327f789db9f
+oid sha256:727d9924121c19569bd3a03b457e723667eadc4a83095a71afa3015eec19840a
 size 495589768