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: 0.6981
-- Accuracy: 0.8194
+- Loss: 0.6185
+- Accuracy: 0.8516
 
 ## Model description
 
@@ -44,14 +44,18 @@ 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: 150
+- training_steps: 450
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0433        | 0.5   | 75   | 0.3569          | 0.8857   |
-| 0.0047        | 1.5   | 150  | 0.3063          | 0.9429   |
+| 1.9248        | 0.17  | 75   | 1.6910          | 0.3143   |
+| 1.1184        | 1.17  | 150  | 0.8519          | 0.7      |
+| 0.3505        | 2.17  | 225  | 0.5482          | 0.7857   |
+| 0.2939        | 3.17  | 300  | 0.5075          | 0.8286   |
+| 0.0447        | 4.17  | 375  | 0.1741          | 0.9714   |
+| 0.0643        | 5.17  | 450  | 0.1370          | 0.9571   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4d42b39d488b673c23f3066f67ea10f09e51a32ac30ad082bf5edce827b044c9
+oid sha256:266b762fd301d85c442008de40242684f393e7a1c8f4b751d0d8644864e4519a
 size 344961984

runs/May24_04-01-25_d951cd11c68c/events.out.tfevents.1716524277.d951cd11c68c.34.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a3a2927ac2490e8519c46d6b6377b8c558043bc7c6f7a565eb8c4618c9e2f190
+size 411