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: 1.0575
-- Accuracy: 0.3889
+- Loss: 1.3132
+- Accuracy: 0.5
 
 ## Model description
 
@@ -44,13 +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: 10
+- training_steps: 30
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.0802        | 1.0   | 10   | 1.0575          | 0.3889   |
+| 1.0873        | 0.6   | 18   | 1.0984          | 0.5      |
+| 0.8074        | 1.4   | 30   | 1.3132          | 0.5      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:049f64c5070a35bbbfb5bc96a939afc18292e5451c7d806f855aae5c242f0a8b
+oid sha256:c1783809de97c29f02e44c038f8ea727b3ddc1304a0e941215b443b7d2919b03
 size 344940444