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: 0.3799
-- Accuracy: 0.8286
+- Loss: 0.3555
+- Accuracy: 0.8571
 
 ## Model description
 
@@ -37,27 +37,27 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 2
-- eval_batch_size: 2
+- train_batch_size: 6
+- eval_batch_size: 6
 - 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: 600
+- training_steps: 200
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.5803        | 0.25  | 150  | 1.3426          | 0.5143   |
-| 0.4075        | 1.25  | 300  | 0.5186          | 0.7571   |
-| 0.2451        | 2.25  | 450  | 0.2852          | 0.8857   |
-| 0.0262        | 3.25  | 600  | 0.3799          | 0.8286   |
+| 1.8929        | 0.25  | 50   | 1.7471          | 0.5286   |
+| 0.7568        | 1.25  | 100  | 0.6984          | 0.7571   |
+| 0.2939        | 2.25  | 150  | 0.4271          | 0.8429   |
+| 0.243         | 3.25  | 200  | 0.3555          | 0.8571   |
 
 
 ### Framework versions
 
 - Transformers 4.26.1
 - Pytorch 1.13.1+cu116
-- Datasets 2.10.0
+- Datasets 2.10.1
 - Tokenizers 0.13.2