Model save

README.md

@@ -1,4 +1,6 @@
 ---
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-base-finetuned-kinetics
 tags:
 - generated_from_trainer
 metrics:
@@ -13,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # videomae-base-finetuned-bekhoaxe
 
-This model was trained from scratch on an unknown dataset.
+This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0202
-- Accuracy: 0.9887
+- Loss: 0.0012
+- Accuracy: 1.0
 
 ## Model description
 
@@ -36,22 +38,22 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 2
-- eval_batch_size: 2
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- training_steps: 848
+- training_steps: 308
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.337         | 0.25  | 212  | 0.1345          | 0.9509   |
-| 0.5753        | 1.25  | 424  | 0.0557          | 0.9789   |
-| 0.1747        | 2.25  | 636  | 0.0092          | 0.9965   |
-| 0.001         | 3.25  | 848  | 0.0051          | 0.9965   |
+| 0.2172        | 0.25  | 77   | 0.0140          | 0.9915   |
+| 0.1826        | 1.25  | 154  | 0.0426          | 0.9831   |
+| 0.1427        | 2.25  | 231  | 0.0020          | 1.0      |
+| 0.2853        | 3.25  | 308  | 0.0012          | 1.0      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0d7fc3597599a4b86817da3500dbaea9ac35651d21e20e3d2f95524c98a1e477
+oid sha256:9a947ae9d2a982e30e43f4bf46d870d0e160dac8c6a1146f0a60c1f370f64356
 size 344937328