update model card README.md

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7549
-- Accuracy: 0.7716
+- Loss: 0.6237
+- Accuracy: 0.8114
 
 ## Model description
 
@@ -43,21 +43,21 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- training_steps: 1340
+- training_steps: 1460
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.2417        | 0.25  | 335  | 1.5928          | 0.3514   |
-| 0.7873        | 1.25  | 670  | 1.0957          | 0.5      |
-| 0.7945        | 2.25  | 1005 | 1.0748          | 0.7027   |
-| 0.0604        | 3.25  | 1340 | 0.7425          | 0.7297   |
+| 2.0135        | 0.25  | 365  | 2.1088          | 0.1443   |
+| 1.6817        | 1.25  | 730  | 2.0997          | 0.3918   |
+| 0.1918        | 2.25  | 1095 | 1.2655          | 0.6186   |
+| 0.4802        | 3.25  | 1460 | 1.1125          | 0.7423   |
 
 
 ### Framework versions
 
-- Transformers 4.27.3
+- Transformers 4.27.4
 - Pytorch 1.13.1+cu116
-- Datasets 2.10.1
+- Datasets 2.11.0
 - Tokenizers 0.13.2