End of training

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: 0.3548
-- Accuracy: 0.8
+- Loss: 0.1075
+- Accuracy: 0.9571
 
 ## Model description
 
@@ -50,15 +50,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.5193        | 0.25  | 150  | 1.4593          | 0.4286   |
-| 0.9097        | 1.25  | 300  | 0.8877          | 0.6429   |
-| 0.1473        | 2.25  | 450  | 0.4312          | 0.8143   |
-| 0.4942        | 3.25  | 600  | 0.3548          | 0.8      |
+| 1.3523        | 0.25  | 150  | 0.9622          | 0.7      |
+| 0.3898        | 1.25  | 300  | 0.5604          | 0.8571   |
+| 0.1675        | 2.25  | 450  | 0.2851          | 0.8429   |
+| 0.0283        | 3.25  | 600  | 0.1075          | 0.9571   |
 
 
 ### Framework versions
 
-- Transformers 4.33.2
-- Pytorch 2.0.1+cpu
+- Transformers 4.34.0
+- Pytorch 1.10.0+cu113
 - Datasets 2.14.5
-- Tokenizers 0.13.3
+- Tokenizers 0.14.0