End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: mit
-base_model: thenlper/gte-base
+base_model: microsoft/deberta-v3-base
 tags:
 - generated_from_trainer
 metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # gte-base-clickbait-task1-post
 
-This model is a fine-tuned version of [thenlper/gte-base](https://huggingface.co/thenlper/gte-base) on an unknown dataset.
+This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8093
-- Accuracy: 0.7175
+- Loss: 1.4005
+- Accuracy: 0.7025
 
 ## Model description
 
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 200  | 0.8278          | 0.6425   |
-| No log        | 2.0   | 400  | 0.7545          | 0.7      |
-| 0.7939        | 3.0   | 600  | 0.7533          | 0.695    |
-| 0.7939        | 4.0   | 800  | 0.7979          | 0.71     |
-| 0.4375        | 5.0   | 1000 | 0.8093          | 0.7175   |
+| No log        | 1.0   | 200  | 0.7978          | 0.7025   |
+| No log        | 2.0   | 400  | 0.9467          | 0.6725   |
+| 0.3904        | 3.0   | 600  | 1.1533          | 0.69     |
+| 0.3904        | 4.0   | 800  | 1.3317          | 0.7075   |
+| 0.1289        | 5.0   | 1000 | 1.4005          | 0.7025   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b2712445f1d2cfe7ca2555774581dcac9aa928dc21d53dc328ac09d56939eecd
+oid sha256:12ebfc1d5d1b102267f597d919910a3670324c5164c267e9a18989536ed45e44
 size 737722356