asmaa1
/

videomae-base-finetuned-SLT-subset

@@ -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: 0.1513
-- Accuracy: 1.0
 ## Model description
@@ -44,28 +44,28 @@ 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: 944
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 3.9224        | 0.06  | 59   | 3.7150          | 0.025    |
-| 3.9538        | 1.06  | 118  | 3.7131          | 0.025    |
-| 3.8824        | 2.06  | 177  | 3.6952          | 0.025    |
-| 3.8135        | 3.06  | 236  | 3.6851          | 0.05     |
-| 3.8444        | 4.06  | 295  | 3.6689          | 0.025    |
-| 3.7715        | 5.06  | 354  | 3.6183          | 0.05     |
-| 3.6616        | 6.06  | 413  | 3.4405          | 0.4      |
-| 3.6175        | 7.06  | 472  | 3.0778          | 0.325    |
-| 3.1062        | 8.06  | 531  | 2.0972          | 0.75     |
-| 1.8942        | 9.06  | 590  | 1.2638          | 0.925    |
-| 1.3975        | 10.06 | 649  | 0.7811          | 0.975    |
-| 1.0269        | 11.06 | 708  | 0.4473          | 1.0      |
-| 0.3623        | 12.06 | 767  | 0.3073          | 1.0      |
-| 0.3611        | 13.06 | 826  | 0.2007          | 1.0      |
-| 0.1881        | 14.06 | 885  | 0.1614          | 1.0      |
-| 0.1773        | 15.06 | 944  | 0.1513          | 1.0      |
 ### Framework versions

 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: 0.4622
+- Accuracy: 0.975
 ## Model description
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
+- training_steps: 960
 ### Training results
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 3.8796        | 0.06  | 60   | 3.6666          | 0.05     |
+| 3.8535        | 1.06  | 120  | 3.4913          | 0.05     |
+| 3.7537        | 2.06  | 180  | 3.3941          | 0.075    |
+| 3.5163        | 3.06  | 240  | 3.3433          | 0.075    |
+| 3.4903        | 4.06  | 300  | 3.2711          | 0.075    |
+| 3.4318        | 5.06  | 360  | 3.2221          | 0.1      |
+| 3.0782        | 6.06  | 420  | 3.1301          | 0.225    |
+| 3.3261        | 7.06  | 480  | 2.9363          | 0.475    |
+| 2.8341        | 8.06  | 540  | 2.5592          | 0.5      |
+| 2.4863        | 9.06  | 600  | 1.8678          | 0.8      |
+| 1.7275        | 10.06 | 660  | 1.2153          | 0.925    |
+| 1.2468        | 11.06 | 720  | 0.9454          | 0.95     |
+| 0.871         | 12.06 | 780  | 0.7030          | 0.975    |
+| 0.6857        | 13.06 | 840  | 0.5486          | 0.95     |
+| 0.6182        | 14.06 | 900  | 0.4743          | 1.0      |
+| 0.3517        | 15.06 | 960  | 0.4622          | 0.975    |
 ### Framework versions

pytorch_model.bin CHANGED Viewed

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