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: 0.6256
-- Accuracy: 0.6957
+- Loss: 0.7527
+- Accuracy: 0.6364
 
 ## Model description
 
@@ -44,16 +44,14 @@ 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: 148
+- training_steps: 74
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.6924        | 0.2568 | 38   | 0.6671          | 0.5455   |
-| 0.6664        | 1.2568 | 76   | 0.6748          | 0.6182   |
-| 0.5947        | 2.2568 | 114  | 0.6095          | 0.6727   |
-| 0.5049        | 3.2297 | 148  | 0.6915          | 0.6182   |
+| 0.6252        | 0.5135 | 38   | 0.6596          | 0.6182   |
+| 0.5187        | 1.4865 | 74   | 0.7527          | 0.6364   |
 
 
 ### Framework versions

model.safetensors

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runs/May16_18-59-46_MSI/events.out.tfevents.1715878788.MSI.22228.0

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runs/May16_18-59-46_MSI/events.out.tfevents.1715883082.MSI.22228.1

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