Model save

README.md

@@ -2,7 +2,6 @@
 license: mit
 base_model: gogamza/kobart-summarization
 tags:
-- kobart-summarization-diary
 - generated_from_trainer
 model-index:
 - name: summary
@@ -16,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [gogamza/kobart-summarization](https://huggingface.co/gogamza/kobart-summarization) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3757
+- Loss: 0.4011
 
 ## Model description
 
@@ -48,11 +47,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.4823        | 1.42  | 500  | 0.3805          |
-| 0.2472        | 2.85  | 1000 | 0.3757          |
-| 0.1306        | 4.27  | 1500 | 0.4135          |
-| 0.0718        | 5.7   | 2000 | 0.4368          |
-| 0.0421        | 7.12  | 2500 | 0.4518          |
+| 1.4804        | 1.47  | 500  | 0.4035          |
+| 0.2475        | 2.93  | 1000 | 0.4011          |
+| 0.1249        | 4.4   | 1500 | 0.4591          |
+| 0.072         | 5.87  | 2000 | 0.4671          |
+| 0.039         | 7.33  | 2500 | 0.5022          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:93c28ad61c4f8b9e47cede8ef1b885eb8cac0cd5cb7214f9bb79b8c3cd02eea8
+oid sha256:1883fb2d33a1889c947cf8e6187fe83a5f86721b9615164c72d2bb2817db831d
 size 495589768