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: 0.5940
-- Accuracy: 0.8636
+- Loss: 0.4272
+- Accuracy: 0.9182
 
 ## Model description
 
@@ -44,15 +44,17 @@ 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: 555
+- training_steps: 925
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.8667        | 0.3351 | 186  | 0.9741          | 0.5727   |
-| 0.8111        | 1.3351 | 372  | 0.8580          | 0.7364   |
-| 0.4008        | 2.3297 | 555  | 0.5940          | 0.8636   |
+| 0.9244        | 0.2011 | 186  | 0.9936          | 0.5818   |
+| 0.3114        | 1.2011 | 372  | 1.0746          | 0.6818   |
+| 0.3265        | 2.2011 | 558  | 0.7547          | 0.8364   |
+| 0.1401        | 3.2011 | 744  | 0.5196          | 0.9      |
+| 0.0014        | 4.1957 | 925  | 0.4272          | 0.9182   |
 
 
 ### Framework versions

runs/May20_21-23-43_MSI/events.out.tfevents.1716261947.MSI.16400.1

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