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: 0.5739
-- Accuracy: 0.8
+- Loss: 0.4196
+- Accuracy: 0.8645
 
 ## Model description
 
@@ -50,13 +50,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.1326        | 0.5   | 150  | 1.2260          | 0.5714   |
-| 0.9273        | 1.5   | 300  | 0.5721          | 0.8286   |
+| 1.0549        | 0.5   | 150  | 0.9528          | 0.7571   |
+| 0.7251        | 1.5   | 300  | 0.4446          | 0.8429   |
 
 
 ### Framework versions
 
-- Transformers 4.34.0
-- Pytorch 2.0.1+cu118
-- Datasets 2.14.5
-- Tokenizers 0.14.1
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

runs/Jan03_19-18-12_906282a222dc/events.out.tfevents.1704310050.906282a222dc.1586.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21c37fe1dbedad1bfbcb7e9c364f2f2d0a34c81c0c8f1168b2bf8002b6dd004a
+size 411