End of training

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: 0.4268
-- Accuracy: 0.8158
+- Loss: 0.5280
+- Accuracy: 0.8051
 
 ## Model description
 
@@ -44,21 +44,27 @@ 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: 520
+- training_steps: 1300
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.5989        | 0.2519 | 131  | 0.5649          | 0.7719   |
-| 0.6172        | 1.2519 | 262  | 0.4746          | 0.7939   |
-| 0.6384        | 2.2519 | 393  | 0.4085          | 0.8333   |
-| 0.341         | 3.2442 | 520  | 0.4268          | 0.8158   |
+| 0.5307        | 0.1008 | 131  | 0.5135          | 0.7897   |
+| 0.7467        | 1.1008 | 262  | 0.4954          | 0.7863   |
+| 0.5834        | 2.1008 | 393  | 0.5522          | 0.7419   |
+| 0.5894        | 3.1008 | 524  | 0.5229          | 0.8171   |
+| 0.536         | 4.1008 | 655  | 0.4529          | 0.8154   |
+| 0.5135        | 5.1008 | 786  | 0.4495          | 0.8205   |
+| 0.4498        | 6.1008 | 917  | 0.5333          | 0.8034   |
+| 0.5968        | 7.1008 | 1048 | 0.5310          | 0.8205   |
+| 0.5063        | 8.1008 | 1179 | 0.5089          | 0.8137   |
+| 0.4491        | 9.0931 | 1300 | 0.5280          | 0.8051   |
 
 
 ### Framework versions
 
-- Transformers 4.41.2
+- Transformers 4.42.4
 - Pytorch 2.0.1+cu117
 - Datasets 2.20.0
 - Tokenizers 0.19.1