metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-cart-activity-v0
results: []
videomae-base-cart-activity-v0
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: 0.2626
- Accuracy: 0.9101
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1272
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4774 | 0.125 | 159 | 0.5977 | 0.7471 |
| 0.2843 | 1.125 | 318 | 0.3505 | 0.8835 |
| 0.2384 | 2.125 | 477 | 0.3886 | 0.8586 |
| 0.2976 | 3.125 | 636 | 0.3410 | 0.8852 |
| 0.2244 | 4.125 | 795 | 0.3221 | 0.8802 |
| 0.2358 | 5.125 | 954 | 0.2995 | 0.8935 |
| 0.2745 | 6.125 | 1113 | 0.2763 | 0.9052 |
| 0.089 | 7.125 | 1272 | 0.2628 | 0.9101 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0