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-ASD_Eye_Contact_v2
+  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-ASD_Eye_Contact_v2
+
+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:
+- Loss: 0.5594
+- 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: 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.1   | 1    | 0.5182          | 1.0      |
+| No log        | 1.1   | 2    | 0.3872          | 1.0      |
+| No log        | 2.1   | 3    | 0.2654          | 1.0      |
+| No log        | 3.1   | 4    | 0.1842          | 1.0      |
+| No log        | 4.1   | 5    | 0.1304          | 1.0      |
+| No log        | 5.1   | 6    | 0.0937          | 1.0      |
+| No log        | 6.1   | 7    | 0.0733          | 1.0      |
+| No log        | 7.1   | 8    | 0.0603          | 1.0      |
+| No log        | 8.1   | 9    | 0.0525          | 1.0      |
+| 0.2147        | 9.1   | 10   | 0.0489          | 1.0      |
+
+
+### Framework versions
+
+- Transformers 4.41.0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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