Model save

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [dandelin/vilt-b32-mlm](https://huggingface.co/dandelin/vilt-b32-mlm) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 21.0818
-- Accuracy: 0.02
-- F1: 0.02
+- Loss: 9.2119
+- Accuracy: 0.0
+- F1: 0.0
 
 ## Model description
 
@@ -45,22 +45,13 @@ 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: 10
+- num_epochs: 1
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1   |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|:----:|
-| 4.1329        | 1.0   | 2678  | 9.9163          | 0.0      | 0.0  |
-| 3.7352        | 2.0   | 5356  | 10.4438         | 0.0      | 0.0  |
-| 2.1774        | 3.0   | 8034  | 11.5371         | 0.0      | 0.0  |
-| 1.1338        | 4.0   | 10712 | 12.9686         | 0.0      | 0.0  |
-| 0.6816        | 5.0   | 13390 | 15.4396         | 0.0      | 0.0  |
-| 0.3725        | 6.0   | 16068 | 17.1792         | 0.01     | 0.01 |
-| 0.1133        | 7.0   | 18746 | 18.8999         | 0.01     | 0.01 |
-| 0.0494        | 8.0   | 21424 | 19.9610         | 0.01     | 0.01 |
-| 0.0905        | 9.0   | 24102 | 20.6784         | 0.02     | 0.02 |
-| 0.0749        | 10.0  | 26780 | 21.0818         | 0.02     | 0.02 |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1  |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|
+| 4.1003        | 1.0   | 2678 | 9.2119          | 0.0      | 0.0 |
 
 
 ### Framework versions