tv_state_detect

README.md

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+---
+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-ssv22-finetuned-ucf101-subset
+  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-base-finetuned-ssv22-finetuned-ucf101-subset
+
+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: 0.0010
+- 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: 3e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- 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: 168
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1456        | 0.25  | 42   | 0.0706          | 1.0      |
+| 0.009         | 1.25  | 84   | 0.0115          | 1.0      |
+| 0.0011        | 2.25  | 126  | 0.0010          | 1.0      |
+| 0.0008        | 3.25  | 168  | 0.0010          | 1.0      |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 1.11.0+cu102
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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