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-finetuned-ucf101-subset-hand
results: []
videomae-base-finetuned-ucf101-subset-hand
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: 0.5545
- Accuracy: 0.9
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: 3
- eval_batch_size: 3
- 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: 1600
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.6621 | 11.0006 | 100 | 1.6555 | 0.2 |
| 1.6996 | 22.0012 | 200 | 1.5660 | 0.4167 |
| 0.886 | 33.0019 | 300 | 1.4698 | 0.4167 |
| 0.6728 | 44.0025 | 400 | 0.7168 | 0.7833 |
| 0.1659 | 55.0031 | 500 | 1.3954 | 0.6667 |
| 0.1471 | 66.0037 | 600 | 1.7320 | 0.6 |
| 0.0085 | 77.0044 | 700 | 1.4034 | 0.7333 |
| 0.0613 | 88.005 | 800 | 1.1479 | 0.7 |
| 0.1256 | 99.0056 | 900 | 1.3657 | 0.7 |
| 0.194 | 111.0006 | 1000 | 1.0879 | 0.7 |
| 0.1336 | 122.0012 | 1100 | 0.9304 | 0.8 |
| 0.0605 | 133.0019 | 1200 | 0.6773 | 0.85 |
| 0.0025 | 144.0025 | 1300 | 0.7631 | 0.7833 |
| 0.0016 | 155.0031 | 1400 | 0.4629 | 0.9167 |
| 0.1698 | 166.0037 | 1500 | 0.5422 | 0.9167 |
| 0.0011 | 177.0044 | 1600 | 0.5545 | 0.9 |
Framework versions
- Transformers 4.45.0
- Pytorch 2.4.1+cu118
- Datasets 3.0.0
- Tokenizers 0.20.0