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End of training

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  2. model.safetensors +1 -1
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-large
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: videomae-large_7class_UCFCrime
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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-large_7class_UCFCrime
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+
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+ This model is a fine-tuned version of [MCG-NJU/videomae-large](https://huggingface.co/MCG-NJU/videomae-large) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 2.1295
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+ - eval_confusion_matrix: {'confusion_matrix': array([[ 7, 0, 1, 1, 39, 4, 0],
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+ [ 47, 42, 1, 0, 110, 43, 0],
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+ [ 1, 0, 37, 2, 0, 0, 9],
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+ [ 1, 0, 16, 52, 1, 0, 0],
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+ [ 4, 0, 1, 1, 107, 22, 7],
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+ [ 0, 0, 0, 0, 16, 54, 0],
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+ [ 0, 0, 4, 2, 14, 33, 59]])}
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+ - eval_runtime: 327.6535
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+ - eval_samples_per_second: 2.252
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+ - eval_steps_per_second: 1.126
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+ - step: 0
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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: 2
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+ - eval_batch_size: 2
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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: 2875
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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