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README.md ADDED
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+ ---
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+ library_name: transformers
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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-cart-activity-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-cart-activity-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: 0.2897
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+ - Accuracy: 0.9002
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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: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - training_steps: 2544
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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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+ | 0.5671 | 0.0625 | 159 | 0.6464 | 0.7371 |
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+ | 0.3141 | 1.0625 | 318 | 0.4348 | 0.8403 |
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+ | 0.3008 | 2.0625 | 477 | 0.4203 | 0.8436 |
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+ | 0.3051 | 3.0625 | 636 | 0.3499 | 0.8735 |
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+ | 0.2801 | 4.0625 | 795 | 0.3290 | 0.8719 |
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+ | 0.3035 | 5.0625 | 954 | 0.7646 | 0.7787 |
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+ | 0.3501 | 6.0625 | 1113 | 0.2899 | 0.9002 |
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+ | 0.0959 | 7.0625 | 1272 | 0.2681 | 0.8968 |
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+ | 0.2196 | 8.0625 | 1431 | 0.3333 | 0.8802 |
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+ | 0.2609 | 9.0625 | 1590 | 0.3849 | 0.8769 |
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+ | 0.1546 | 10.0625 | 1749 | 0.3787 | 0.8852 |
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+ | 0.1834 | 11.0625 | 1908 | 0.4571 | 0.8835 |
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+ | 0.2244 | 12.0625 | 2067 | 0.3221 | 0.8902 |
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+ | 0.2318 | 13.0625 | 2226 | 0.4032 | 0.8819 |
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+ | 0.2501 | 14.0625 | 2385 | 0.3339 | 0.8952 |
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+ | 0.086 | 15.0625 | 2544 | 0.3323 | 0.8935 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.47.1
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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