videomae-base-finetuned-inhard
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0630
- Accuracy: 0.7151
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: 2
- eval_batch_size: 2
- 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: 7664
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
1.5289 | 0.25 | 1916 | 1.5659 | 0.5161 |
1.5302 | 1.25 | 3832 | 1.0917 | 0.6582 |
0.5935 | 2.25 | 5748 | 0.9741 | 0.7225 |
0.6323 | 3.25 | 7664 | 1.0761 | 0.6859 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model state unknown