Model save

README.md

@@ -4,6 +4,8 @@ license: cc-by-nc-4.0
 base_model: MCG-NJU/videomae-base
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: videomae-base-finetuned-ucf101-subset-hand
   results: []
@@ -15,6 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 # videomae-base-finetuned-ucf101-subset-hand
 
 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: 0.4523
+- Accuracy: 0.8529
 
 ## Model description
 
@@ -40,7 +45,19 @@ 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: 48
+- training_steps: 1200
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| 1.6881        | 15.0042 | 200  | 1.6327          | 0.1765   |
+| 1.6118        | 30.0083 | 400  | 1.6022          | 0.2353   |
+| 1.3647        | 46.0017 | 600  | 1.3752          | 0.3824   |
+| 0.6254        | 61.0058 | 800  | 1.4182          | 0.3529   |
+| 0.4048        | 76.01   | 1000 | 0.6370          | 0.8235   |
+| 0.1016        | 92.0033 | 1200 | 0.4523          | 0.8529   |
+
 
 ### Framework versions
 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6dfa2d2fde8ef746e9dcab94070c93bd70996762bf61ed040848223123acbc86
+oid sha256:9a9c4e981bb9c95711b70969c688f26a2f80391fe241657ef06cad8552fad4fd
 size 344946604