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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-finetuned-ucf101-subset_new
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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-finetuned-ucf101-subset_new
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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: 0.2017
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+ - Accuracy: 0.9419
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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: 4e-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: 0.2
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+ - training_steps: 296
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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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+ | 2.3017 | 0.1284 | 38 | 2.2057 | 0.1143 |
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+ | 1.7529 | 1.1284 | 76 | 1.5770 | 0.4571 |
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+ | 0.738 | 2.1284 | 114 | 0.7969 | 0.7571 |
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+ | 0.4054 | 3.1284 | 152 | 0.4407 | 0.8143 |
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+ | 0.1165 | 4.1284 | 190 | 0.3495 | 0.8429 |
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+ | 0.1328 | 5.1284 | 228 | 0.1444 | 0.9571 |
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+ | 0.0875 | 6.1284 | 266 | 0.0864 | 0.9857 |
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+ | 0.0347 | 7.1014 | 296 | 0.0651 | 0.9857 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.0
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+ - Pytorch 2.4.0
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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