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: 0.2626
-- Accuracy: 0.9143
+- Loss: 0.2953
+- Accuracy: 0.95
 
 ## Model description
 
@@ -44,19 +44,19 @@ 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: 420
+- training_steps: 119
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3759        | 0.14  | 60   | 0.9304          | 0.7429   |
-| 0.3269        | 1.14  | 120  | 0.6277          | 0.8      |
-| 0.2179        | 2.14  | 180  | 0.4520          | 0.8143   |
-| 0.0438        | 3.14  | 240  | 1.2251          | 0.7286   |
-| 0.0638        | 4.14  | 300  | 0.3499          | 0.8857   |
-| 0.0047        | 5.14  | 360  | 0.2392          | 0.9143   |
-| 0.0039        | 6.14  | 420  | 0.2626          | 0.9143   |
+| 0.6605        | 0.15  | 18   | 0.5738          | 0.7      |
+| 0.4013        | 1.15  | 36   | 0.7192          | 0.65     |
+| 0.6608        | 2.15  | 54   | 0.5641          | 0.85     |
+| 0.1641        | 3.15  | 72   | 0.4144          | 0.85     |
+| 0.2899        | 4.15  | 90   | 0.9020          | 0.7      |
+| 0.2204        | 5.15  | 108  | 0.2915          | 0.95     |
+| 0.1141        | 6.09  | 119  | 0.2953          | 0.95     |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4c428547142837b3fcfbe196d3b61d508152cedb6e87cd6dc18460dd5868bf8d
+oid sha256:c9d6550130d3d9bbe5708daa0cc96fc93a152b27a5ab96b4214573799901b185
 size 344978933