Model save

README.md

@@ -2,7 +2,6 @@
 license: mit
 base_model: gogamza/kobart-base-v2
 tags:
-- kobart-hashtag
 - generated_from_trainer
 model-index:
 - name: modelling
@@ -16,7 +15,7 @@ should 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:
-- Loss: 0.6042
+- Loss: 0.7086
 
 ## Model description
 
@@ -48,11 +47,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.164         | 1.41  | 500  | 0.6552          |
-| 0.4948        | 2.82  | 1000 | 0.6042          |
-| 0.2967        | 4.24  | 1500 | 0.7162          |
-| 0.1858        | 5.65  | 2000 | 0.7271          |
-| 0.1245        | 7.06  | 2500 | 0.7639          |
+| 0.2628        | 1.23  | 500  | 0.6570          |
+| 0.1678        | 2.47  | 1000 | 0.7086          |
+| 0.1958        | 3.7   | 1500 | 0.7066          |
+| 0.1283        | 4.94  | 2000 | 0.7354          |
+| 0.0883        | 6.17  | 2500 | 0.7892          |
+| 0.066         | 7.41  | 3000 | 0.8266          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:faaf2537eb305b1e4188520650b72567661bd292784da4b6bd9a8a6f86471544
+oid sha256:da0ac3d356ddba9fcba8e0c468364c01bed2cfd629b42522bfa3c9ae94d35981
 size 495589768