Model save

README.md

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+---
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-small-finetuned-ssv2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-small-finetuned-ssv2-finetuned-traffic-dataset-mae
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# videomae-small-finetuned-ssv2-finetuned-traffic-dataset-mae
+
+This model is a fine-tuned version of [MCG-NJU/videomae-small-finetuned-ssv2](https://huggingface.co/MCG-NJU/videomae-small-finetuned-ssv2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0486
+- Accuracy: 1.0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- 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: 448
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.4852        | 0.12  | 56   | 0.4753          | 0.7143   |
+| 0.6294        | 1.12  | 112  | 0.0372          | 1.0      |
+| 0.4141        | 2.12  | 168  | 0.0060          | 1.0      |
+| 0.2121        | 3.12  | 224  | 0.0062          | 1.0      |
+| 0.8881        | 4.12  | 280  | 0.0046          | 1.0      |
+| 0.3003        | 5.12  | 336  | 0.0054          | 1.0      |
+| 0.1027        | 6.12  | 392  | 0.1611          | 0.9286   |
+| 0.0029        | 7.12  | 448  | 0.0898          | 0.9286   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.0.1+cu118
+- Datasets 2.1.0
+- Tokenizers 0.15.2

model.safetensors

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runs/Apr03_18-32-53_10780645e8b2/events.out.tfevents.1712171554.10780645e8b2.34.5

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