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-gesturePhaseV1
+  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-gesturePhaseV1
+
+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: 0.5918
+- Loss: 1.1628
+- Accuracy Hold: 0.0
+- Accuracy Stroke: 0.0
+- Accuracy Recovery: 0.0
+- Accuracy Preparation: 0.9221
+- Accuracy Unknown: 0.4571
+
+## 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: 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: 276
+
+### Training results
+
+| Training Loss | Epoch  | Step | Accuracy | Validation Loss | Accuracy Hold | Accuracy Stroke | Accuracy Recovery | Accuracy Preparation | Accuracy Unknown |
+|:-------------:|:------:|:----:|:--------:|:---------------:|:-------------:|:---------------:|:-----------------:|:--------------------:|:----------------:|
+| 1.2297        | 0.2536 | 70   | 0.5597   | 1.2679          | 0.0           | 0.0             | 0.0               | 1.0                  | 0.0              |
+| 0.9724        | 1.2536 | 140  | 0.5597   | 1.2204          | 0.0           | 0.0             | 0.0               | 1.0                  | 0.0              |
+| 0.9151        | 2.2536 | 210  | 0.6119   | 1.0776          | 0.0           | 0.0             | 0.0               | 0.9333               | 0.4615           |
+| 0.9169        | 3.2391 | 276  | 0.6269   | 1.0385          | 0.0           | 0.0             | 0.0               | 0.9067               | 0.6154           |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1