metadata
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base-finetuned-kinetics
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-kinetics-finetuned-conflab-traj-direction-lh-v1
results: []
videomae-base-finetuned-kinetics-finetuned-conflab-traj-direction-lh-v1
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: 1.3609
- Accuracy: 0.6096
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: 728
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.6395 | 0.1442 | 105 | 1.6255 | 0.3723 |
| 1.4009 | 1.1442 | 210 | 1.4288 | 0.5053 |
| 1.0856 | 2.1442 | 315 | 1.2735 | 0.5745 |
| 0.6975 | 3.1442 | 420 | 1.2629 | 0.6064 |
| 0.3574 | 4.1442 | 525 | 1.2030 | 0.6170 |
| 0.1654 | 5.1442 | 630 | 1.2649 | 0.6436 |
| 0.1179 | 6.1346 | 728 | 1.2939 | 0.6330 |
Framework versions
- Transformers 4.41.0
- Pytorch 1.12.0+cu116
- Datasets 2.19.1
- Tokenizers 0.19.1