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-rh-v2
results: []
videomae-base-finetuned-kinetics-finetuned-conflab-traj-direction-rh-v2
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: 1.7062
- Accuracy: 0.5512
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: 1053
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.9728 | 0.1121 | 118 | 1.8082 | 0.2913 |
| 1.5903 | 1.1121 | 236 | 1.8038 | 0.3786 |
| 1.2371 | 2.1121 | 354 | 1.4667 | 0.4563 |
| 0.9635 | 3.1121 | 472 | 1.4187 | 0.5631 |
| 0.3984 | 4.1121 | 590 | 1.3990 | 0.5631 |
| 0.1962 | 5.1121 | 708 | 1.4243 | 0.5825 |
| 0.1952 | 6.1121 | 826 | 1.5571 | 0.6019 |
| 0.0319 | 7.1121 | 944 | 1.5844 | 0.5874 |
| 0.0203 | 8.1035 | 1053 | 1.5794 | 0.6214 |
Framework versions
- Transformers 4.41.0
- Pytorch 1.12.0+cu116
- Datasets 2.19.1
- Tokenizers 0.19.1