Model save

README.md

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+---
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-base-finetuned-good-gestureUnitsV2
+  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-good-gestureUnitsV2
+
+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:
+- Accuracy: 0.8932
+- Loss: 0.3541
+- Accuracy Gunit: 0.5417
+- Accuracy Nothing: 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: 1e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- 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: 170
+
+### Training results
+
+| Training Loss | Epoch | Step | Accuracy | Validation Loss | Accuracy Gunit | Accuracy Nothing |
+|:-------------:|:-----:|:----:|:--------:|:---------------:|:--------------:|:----------------:|
+| 0.7018        | 0.1   | 17   | 0.2810   | 0.7374          | 0.75           | 0.0494           |
+| 0.6812        | 1.1   | 34   | 0.3223   | 0.7290          | 0.925          | 0.0247           |
+| 0.606         | 2.1   | 51   | 0.5537   | 0.6634          | 0.85           | 0.4074           |
+| 0.604         | 3.1   | 68   | 0.4298   | 0.6624          | 0.95           | 0.1728           |
+| 0.5523        | 4.1   | 85   | 0.8512   | 0.5508          | 0.85           | 0.8519           |
+| 0.4609        | 5.1   | 102  | 0.8595   | 0.4713          | 0.875          | 0.8519           |
+| 0.4126        | 6.1   | 119  | 0.9421   | 0.3119          | 0.85           | 0.9877           |
+| 0.2594        | 7.1   | 136  | 0.9421   | 0.2562          | 0.85           | 0.9877           |
+| 0.1955        | 8.1   | 153  | 0.9174   | 0.2955          | 0.875          | 0.9383           |
+| 0.2203        | 9.1   | 170  | 0.9421   | 0.2354          | 0.85           | 0.9877           |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

model.safetensors

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