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videomae-base-finetuned-kinetics-finetuned-nba-binary-data-2-batch-5-epochs
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: 0.3828
- Accuracy: 0.8897
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: 995
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
1.4583 | 0.2 | 200 | 1.2168 | 0.5714 |
0.9431 | 1.2 | 400 | 0.9699 | 0.6327 |
0.7164 | 2.2 | 600 | 1.2069 | 0.6939 |
0.0199 | 3.2 | 800 | 0.8107 | 0.7551 |
0.6064 | 4.2 | 995 | 0.7476 | 0.7959 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3