videomae-base-foodpickup-customdata
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: 0.6326
- Accuracy: 0.52
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: 8
- eval_batch_size: 8
- 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: 28
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.29 | 8 | 0.6667 | 0.4348 |
| 0.6875 | 1.29 | 16 | 0.7287 | 0.3913 |
| 0.5114 | 2.29 | 24 | 0.7178 | 0.4348 |
| 0.5114 | 3.14 | 28 | 0.7075 | 0.4348 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for MeghaMurali/videomae-base-foodpickup-customdata
Base model
MCG-NJU/videomae-base