update model card README.md

README.md

@@ -2,8 +2,6 @@
 license: cc-by-nc-4.0
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: videomae-base-finetuned-ucf101-subset
   results: []
@@ -15,9 +13,6 @@ should probably proofread and complete it, then remove this comment. -->
 # videomae-base-finetuned-ucf101-subset
 
 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: 0.1658
-- Accuracy: 0.9548
 
 ## Model description
 
@@ -37,27 +32,13 @@ 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: 8
+- eval_batch_size: 8
 - 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 results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.0934        | 0.12  | 75   | 1.7596          | 0.5429   |
-| 0.9556        | 1.12  | 150  | 1.1258          | 0.6429   |
-| 0.4154        | 2.12  | 225  | 0.4632          | 0.8571   |
-| 0.4116        | 3.12  | 300  | 0.5566          | 0.8571   |
-| 0.021         | 4.12  | 375  | 0.1726          | 0.9714   |
-| 0.0084        | 5.12  | 450  | 0.1028          | 0.9714   |
-| 0.0056        | 6.12  | 525  | 0.0352          | 0.9857   |
-| 0.0051        | 7.12  | 600  | 0.0435          | 0.9714   |
-
+- training_steps: 300
 
 ### Framework versions