tgieruc
/

Heritage-in-the-Digital-Age-expression-comparison

Text Classification

Generated from Trainer

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

tgieruc commited on Dec 27, 2022

Commit

87c36a5

•

1 Parent(s): 494a78c

update model card README.md

Files changed (1) hide show

README.md +7 -7

README.md CHANGED Viewed

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4872
-- Accuracy: 0.7973
 ## Model description
@@ -48,11 +48,11 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 136  | 0.4922          | 0.7904   |
-| No log        | 2.0   | 272  | 0.4773          | 0.7938   |
-| No log        | 3.0   | 408  | 0.4872          | 0.7973   |
-| 0.48          | 4.0   | 544  | 0.4845          | 0.7869   |
-| 0.48          | 5.0   | 680  | 0.5033          | 0.7869   |
 ### Framework versions

 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.5281
+- Accuracy: 0.7709
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 136  | 0.5281          | 0.7709   |
+| No log        | 2.0   | 272  | 0.5288          | 0.7709   |
+| No log        | 3.0   | 408  | 0.5311          | 0.7629   |
+| 0.4623        | 4.0   | 544  | 0.5814          | 0.7595   |
+| 0.4623        | 5.0   | 680  | 0.5764          | 0.7549   |
 ### Framework versions