End of training

README.md

@@ -3,6 +3,8 @@ license: cc-by-nc-4.0
 base_model: MCG-NJU/videomae-base
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: videomae-base-finetuned-ucf101-subset
   results: []
@@ -14,6 +16,9 @@ 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: 0.1980
+- Accuracy: 0.9429
 
 ## Model description
 
@@ -41,6 +46,16 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - training_steps: 300
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.7193        | 0.25  | 75   | 1.4670          | 0.4571   |
+| 0.8256        | 1.25  | 150  | 0.5563          | 0.8      |
+| 0.3065        | 2.25  | 225  | 0.3406          | 0.8714   |
+| 0.3047        | 3.25  | 300  | 0.1980          | 0.9429   |
+
+
 ### Framework versions
 
 - Transformers 4.32.0