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-v1
results: []
videomae-base-cart-activity-v1
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: 0.2897
- Accuracy: 0.9002
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: 2544
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5671 | 0.0625 | 159 | 0.6464 | 0.7371 |
| 0.3141 | 1.0625 | 318 | 0.4348 | 0.8403 |
| 0.3008 | 2.0625 | 477 | 0.4203 | 0.8436 |
| 0.3051 | 3.0625 | 636 | 0.3499 | 0.8735 |
| 0.2801 | 4.0625 | 795 | 0.3290 | 0.8719 |
| 0.3035 | 5.0625 | 954 | 0.7646 | 0.7787 |
| 0.3501 | 6.0625 | 1113 | 0.2899 | 0.9002 |
| 0.0959 | 7.0625 | 1272 | 0.2681 | 0.8968 |
| 0.2196 | 8.0625 | 1431 | 0.3333 | 0.8802 |
| 0.2609 | 9.0625 | 1590 | 0.3849 | 0.8769 |
| 0.1546 | 10.0625 | 1749 | 0.3787 | 0.8852 |
| 0.1834 | 11.0625 | 1908 | 0.4571 | 0.8835 |
| 0.2244 | 12.0625 | 2067 | 0.3221 | 0.8902 |
| 0.2318 | 13.0625 | 2226 | 0.4032 | 0.8819 |
| 0.2501 | 14.0625 | 2385 | 0.3339 | 0.8952 |
| 0.086 | 15.0625 | 2544 | 0.3323 | 0.8935 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0