Model save

README.md

@@ -3,6 +3,8 @@ license: cc-by-nc-4.0
 base_model: MCG-NJU/videomae-base-finetuned-ssv2
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: videomae-base-finetuned-ssv2-finetuned-traffic-dataset-mae
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # videomae-base-finetuned-ssv2-finetuned-traffic-dataset-mae
 
 This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-ssv2](https://huggingface.co/MCG-NJU/videomae-base-finetuned-ssv2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.8114
+- Accuracy: 0.375
 
 ## Model description
 
@@ -39,11 +44,25 @@ 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: 448
+- training_steps: 608
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0309        | 0.12  | 76   | 0.3008          | 0.9130   |
+| 0.0002        | 1.12  | 152  | 2.1030          | 0.6667   |
+| 0.0001        | 2.12  | 228  | 1.8458          | 0.7101   |
+| 0.0           | 3.12  | 304  | 1.5200          | 0.7391   |
+| 0.0001        | 4.12  | 380  | 1.4569          | 0.7536   |
+| 0.0           | 5.12  | 456  | 0.3941          | 0.9275   |
+| 0.0001        | 6.12  | 532  | 0.9658          | 0.8696   |
+| 0.0001        | 7.12  | 608  | 0.9836          | 0.8406   |
+
 
 ### Framework versions
 
-- Transformers 4.39.3
-- Pytorch 2.0.1+cu118
+- Transformers 4.38.2
+- Pytorch 2.1.2
 - Datasets 2.1.0
 - Tokenizers 0.15.2

model.safetensors

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