End of training

README.md

@@ -2,6 +2,8 @@
 base_model: klue/roberta-large
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: TC_model
   results: []
@@ -13,6 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 # TC_model
 
 This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5923
+- Accuracy: 0.9405
 
 ## Model description
 
@@ -37,13 +42,22 @@ 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: 1
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 85   | 0.3388          | 0.9524   |
+| No log        | 1.0   | 85   | 0.6354          | 0.9167   |
+| No log        | 2.0   | 170  | 0.5542          | 0.9048   |
+| No log        | 3.0   | 255  | 0.4928          | 0.9405   |
+| No log        | 4.0   | 340  | 0.5524          | 0.9405   |
+| No log        | 5.0   | 425  | 0.5733          | 0.9405   |
+| 0.0575        | 6.0   | 510  | 0.5815          | 0.9405   |
+| 0.0575        | 7.0   | 595  | 0.5857          | 0.9405   |
+| 0.0575        | 8.0   | 680  | 0.5896          | 0.9405   |
+| 0.0575        | 9.0   | 765  | 0.5922          | 0.9405   |
+| 0.0575        | 10.0  | 850  | 0.5923          | 0.9405   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e720f4c50c0cc5e45dbce83c3a7acf902c762a104d73c97f0c7e24cc5dc429d0
+oid sha256:b712a1749c1f5969a91fe2a2f894b56cd585c7e0a3322ac420917b89f934e01e
 size 1346690120