End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: mit
-base_model: microsoft/deberta-v3-base
+base_model: thenlper/gte-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 [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
+This model is a fine-tuned version of [thenlper/gte-base](https://huggingface.co/thenlper/gte-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4005
-- Accuracy: 0.7025
+- Loss: 2.4369
+- Accuracy: 0.69
 
 ## Model description
 
@@ -43,17 +43,32 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 20
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 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   |
+| No log        | 1.0   | 200  | 0.8074          | 0.6575   |
+| No log        | 2.0   | 400  | 0.7113          | 0.7225   |
+| 0.7726        | 3.0   | 600  | 0.7627          | 0.7375   |
+| 0.7726        | 4.0   | 800  | 0.9634          | 0.72     |
+| 0.268         | 5.0   | 1000 | 1.2732          | 0.6925   |
+| 0.268         | 6.0   | 1200 | 1.5238          | 0.715    |
+| 0.268         | 7.0   | 1400 | 1.8239          | 0.6875   |
+| 0.0465        | 8.0   | 1600 | 1.9875          | 0.7      |
+| 0.0465        | 9.0   | 1800 | 2.1233          | 0.68     |
+| 0.0147        | 10.0  | 2000 | 2.1624          | 0.6775   |
+| 0.0147        | 11.0  | 2200 | 2.3234          | 0.6725   |
+| 0.0147        | 12.0  | 2400 | 2.2247          | 0.6975   |
+| 0.0087        | 13.0  | 2600 | 2.3189          | 0.685    |
+| 0.0087        | 14.0  | 2800 | 2.3079          | 0.69     |
+| 0.0055        | 15.0  | 3000 | 2.4370          | 0.6825   |
+| 0.0055        | 16.0  | 3200 | 2.4838          | 0.6775   |
+| 0.0055        | 17.0  | 3400 | 2.4335          | 0.6775   |
+| 0.0047        | 18.0  | 3600 | 2.4259          | 0.6775   |
+| 0.0047        | 19.0  | 3800 | 2.4417          | 0.6825   |
+| 0.0043        | 20.0  | 4000 | 2.4369          | 0.69     |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2fbcd8a2a4ed9084438d8e31c91c8ff3b5e87e040c32c10eb0f671ccc4e7c536
+oid sha256:49480e2387a6ec6f9b841ec4e600232cd89a13dc1e22199885c525f5a23f929f
 size 437961724