Model save

README.md

@@ -17,8 +17,8 @@ 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: 0.6326
-- Accuracy: 0.7906
+- Loss: 0.0944
+- Accuracy: 0.9752
 
 ## Model description
 
@@ -44,13 +44,22 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- training_steps: 55
+- training_steps: 11770
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.5033        | 1.0   | 55   | 0.6326          | 0.7906   |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 1.801         | 0.1   | 1178  | 2.0143          | 0.5181   |
+| 0.7407        | 1.1   | 2356  | 0.7707          | 0.8052   |
+| 0.4488        | 2.1   | 3534  | 0.4310          | 0.8839   |
+| 0.1402        | 3.1   | 4712  | 0.3790          | 0.8934   |
+| 0.1608        | 4.1   | 5890  | 0.2916          | 0.9194   |
+| 0.0133        | 5.1   | 7068  | 0.1776          | 0.9542   |
+| 0.0806        | 6.1   | 8246  | 0.1715          | 0.9582   |
+| 0.0132        | 7.1   | 9424  | 0.1474          | 0.9656   |
+| 0.0017        | 8.1   | 10602 | 0.1038          | 0.9722   |
+| 0.002         | 9.1   | 11770 | 0.0944          | 0.9752   |
 
 
 ### Framework versions