videomae-base-finetuned-ucfcrime-full2
This model is a fine-tuned version of archit11/videomae-base-finetuned-ucfcrime-full on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.5014
- eval_accuracy: 0.225
- eval_precision: 0.2362
- eval_recall: 0.1921
- eval_f1: 0.1788
- eval_runtime: 1015.705
- eval_samples_per_second: 4.883
- eval_steps_per_second: 1.221
- step: 0
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 700
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
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Model tree for archit11/videomae-base-finetuned-ucfcrime-full2
Base model
MCG-NJU/videomae-base