videomae-base-finetuned-kinetics-finetuned-caer-final
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3322
- Accuracy: 0.5063
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: 6
- eval_batch_size: 6
- 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: 146
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.4128 | 0.56 | 82 | 1.4815 | 0.3544 |
| 1.0255 | 1.44 | 146 | 1.3322 | 0.5063 |
Framework versions
- Transformers 4.39.0
- Pytorch 2.1.0
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for yehiawp4/videomae-base-finetuned-kinetics-finetuned-caer-final
Base model
MCG-NJU/videomae-base-finetuned-kinetics