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: 0.4196
-- Accuracy: 0.8645
+- Loss: 0.5632
+- Accuracy: 0.7935
 
 ## Model description
 
@@ -50,13 +50,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.0549        | 0.5   | 150  | 0.9528          | 0.7571   |
-| 0.7251        | 1.5   | 300  | 0.4446          | 0.8429   |
+| 1.1039        | 0.5   | 150  | 1.1066          | 0.7      |
+| 0.7965        | 1.5   | 300  | 0.6133          | 0.8286   |
 
 
 ### Framework versions
 
-- Transformers 4.35.2
-- Pytorch 2.1.0+cu121
-- Datasets 2.16.1
-- Tokenizers 0.15.0
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

runs/Jun30_22-14-34_a5f1af6aeeaa/events.out.tfevents.1719787299.a5f1af6aeeaa.4940.1

@@ -0,0 +1,3 @@
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+size 411