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README.md
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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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model-index:
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- name: videomae-base-finetuned-ucf101-subset_fhbh
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results: []
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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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# videomae-base-finetuned-ucf101-subset_fhbh
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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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- eval_loss: 0.2618
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- eval_accuracy: 0.9412
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- eval_runtime: 88.9045
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- eval_samples_per_second: 0.574
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- eval_steps_per_second: 0.146
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- epoch: 24.0020
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- step: 1450
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 4
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- eval_batch_size: 4
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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: 28500
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 1.10.0+cu113
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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model.safetensors
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runs/Sep25_06-15-09_stupa-ai/events.out.tfevents.1727244913.stupa-ai.2576179.4
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