update model card README.md

README.md

@@ -2,6 +2,8 @@
 license: cc-by-nc-4.0
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: videomae-base-finetuned-ucf101-subset
   results: []
@@ -13,6 +15,9 @@ 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
 
@@ -32,17 +37,31 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 4
+- eval_batch_size: 4
 - 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: 148
+- 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   |
+
 
 ### Framework versions
 
-- Transformers 4.29.2
-- Pytorch 2.0.1+cu118
-- Datasets 2.12.0
+- Transformers 4.28.1
+- Pytorch 2.0.0
+- Datasets 2.1.0
 - Tokenizers 0.13.3