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-right-hand-conflab-baseline-2
results: []
videomae-base-finetuned-kinetics-finetuned-right-hand-conflab-baseline-2
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: 1.4525
- Accuracy: 0.5951
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1170
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.7757 | 0.0504 | 59 | 1.7544 | 0.3398 |
| 1.4807 | 1.0504 | 118 | 1.7067 | 0.3689 |
| 1.4444 | 2.0504 | 177 | 1.4684 | 0.4320 |
| 1.022 | 3.0504 | 236 | 1.4322 | 0.5388 |
| 0.7796 | 4.0504 | 295 | 1.2440 | 0.5583 |
| 0.5612 | 5.0504 | 354 | 1.3034 | 0.5680 |
| 0.4722 | 6.0504 | 413 | 1.4143 | 0.5728 |
| 0.3215 | 7.0504 | 472 | 1.3449 | 0.5825 |
| 0.2223 | 8.0504 | 531 | 1.3282 | 0.6019 |
| 0.1452 | 9.0504 | 590 | 1.4134 | 0.6068 |
| 0.1771 | 10.0504 | 649 | 1.4489 | 0.6019 |
| 0.0472 | 11.0504 | 708 | 1.5544 | 0.5922 |
| 0.0384 | 12.0504 | 767 | 1.6467 | 0.5874 |
Framework versions
- Transformers 4.41.0
- Pytorch 1.12.0+cu116
- Datasets 2.19.1
- Tokenizers 0.19.1