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: 1.4743
-- Accuracy: 0.5419
+- Loss: 1.1571
+- Accuracy: 0.6387
 
 ## Model description
 
@@ -37,22 +37,22 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 4
-- eval_batch_size: 4
+- train_batch_size: 2
+- eval_batch_size: 2
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- training_steps: 300
+- training_steps: 600
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.3247        | 0.25  | 75   | 2.2102          | 0.2143   |
-| 2.2528        | 1.25  | 150  | 2.0479          | 0.1571   |
-| 1.8267        | 2.25  | 225  | 1.7605          | 0.3286   |
-| 1.5876        | 3.25  | 300  | 1.6022          | 0.3714   |
+| 2.2528        | 0.25  | 150  | 2.2372          | 0.2143   |
+| 2.2692        | 1.25  | 300  | 1.8026          | 0.3286   |
+| 1.7863        | 2.25  | 450  | 1.4200          | 0.3857   |
+| 1.5778        | 3.25  | 600  | 1.2339          | 0.4571   |
 
 
 ### Framework versions