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README.md ADDED
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+ ---
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+ license: cc-by-nc-4.0
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+ base_model: MCG-NJU/videomae-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: videomae-base-ASD_Eye_Contact_v1
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # videomae-base-ASD_Eye_Contact_v1
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+
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+ This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6104
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+ - Accuracy: 0.8889
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - training_steps: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 0.1 | 1 | 0.7788 | 0.2326 |
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+ | No log | 1.1 | 2 | 0.6849 | 0.5581 |
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+ | No log | 2.1 | 3 | 0.6217 | 0.9767 |
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+ | No log | 3.1 | 4 | 0.5667 | 0.9767 |
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+ | No log | 4.1 | 5 | 0.5197 | 0.9767 |
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+ | No log | 5.1 | 6 | 0.4813 | 0.9767 |
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+ | No log | 6.1 | 7 | 0.4521 | 0.9767 |
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+ | No log | 7.1 | 8 | 0.4296 | 1.0 |
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+ | No log | 8.1 | 9 | 0.4158 | 1.0 |
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+ | 0.5774 | 9.1 | 10 | 0.4091 | 1.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.0
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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