Upload trained VideoMAE with metrics and all figures

README.md

@@ -17,14 +17,14 @@ 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: 2.2852
+- Loss: 2.3200
 - Accuracy: 0.125
 - Top 1 Accuracy: 0.125
-- Top 5 Accuracy: 0.5625
+- Top 5 Accuracy: 0.5
 - Top 10 Accuracy: 1.0
-- Macro Precision: 0.0138
+- Macro Precision: 0.0125
 - Macro Recall: 0.1
-- Macro F1: 0.0242
+- Macro F1: 0.0222
 
 ## Model description
 
@@ -58,8 +58,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy | Top 1 Accuracy | Top 5 Accuracy | Top 10 Accuracy | Macro Precision | Macro Recall | Macro F1 |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:--------------:|:--------------:|:---------------:|:---------------:|:------------:|:--------:|
-| No log        | 0.4706 | 8    | 2.3331          | 0.125    | 0.125          | 0.4688         | 1.0             | 0.0125          | 0.1          | 0.0222   |
-| No log        | 1.4853 | 17   | 2.2852          | 0.125    | 0.125          | 0.5625         | 1.0             | 0.0138          | 0.1          | 0.0242   |
+| No log        | 0.4706 | 8    | 2.3092          | 0.1562   | 0.1562         | 0.5312         | 1.0             | 0.1133          | 0.1333       | 0.0735   |
+| No log        | 1.4853 | 17   | 2.3200          | 0.125    | 0.125          | 0.5            | 1.0             | 0.0125          | 0.1          | 0.0222   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:dcfa2d99c9f04956a30f2a9395cbffbb228b9083c64bcf54bc7855cc677c8b73
+oid sha256:0285333c3d645cb733ed4589c7fac629825479201254ec332803d9e452b40821
 size 344961984

per_class_report.csv

@@ -5,10 +5,10 @@ all,0.0,0.0,0.0,3.0
 apple,0.0,0.0,0.0,2.0
 basketball,0.0,0.0,0.0,2.0
 bed,0.0,0.0,0.0,2.0
-before,0.15384615384615385,1.0,0.2666666666666667,4.0
+before,0.14814814814814814,1.0,0.25806451612903225,4.0
 bird,0.0,0.0,0.0,2.0
 birthday,0.0,0.0,0.0,3.0
 black,0.0,0.0,0.0,3.0
 accuracy,0.14814814814814814,0.14814814814814814,0.14814814814814814,0.14814814814814814
-macro avg,0.015384615384615385,0.1,0.026666666666666672,27.0
-weighted avg,0.022792022792022793,0.14814814814814814,0.03950617283950618,27.0
+macro avg,0.014814814814814814,0.1,0.025806451612903226,27.0
+weighted avg,0.02194787379972565,0.14814814814814814,0.038231780167264036,27.0

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ade8cd4de65f609b0141c20d05354144bf740d70bb78b70f970a4eb02d222adf
+oid sha256:3582f73824cac9f2727ba1778e06122783f38ec15e606c13da7720ab2c33922a
 size 4719