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
results: []
videomae-base-finetuned-ucf101-subset
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: 0.0794
- Accuracy: 0.9714
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: 6
- eval_batch_size: 6
- 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: 600
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.1779 | 0.0833 | 50 | 2.0389 | 0.2714 |
| 0.9209 | 1.0833 | 100 | 0.9262 | 0.6857 |
| 0.5527 | 2.0833 | 150 | 0.3633 | 0.9143 |
| 0.2367 | 3.0833 | 200 | 0.4540 | 0.8857 |
| 0.4635 | 4.0833 | 250 | 0.2192 | 0.9429 |
| 0.097 | 5.0833 | 300 | 0.2792 | 0.8714 |
| 0.0128 | 6.0833 | 350 | 0.1230 | 0.9571 |
| 0.0346 | 7.0833 | 400 | 0.0637 | 0.9714 |
| 0.005 | 8.0833 | 450 | 0.0655 | 0.9714 |
| 0.0045 | 9.0833 | 500 | 0.0876 | 0.9714 |
| 0.004 | 10.0833 | 550 | 0.0904 | 0.9714 |
| 0.0041 | 11.0833 | 600 | 0.0794 | 0.9714 |
Framework versions
- Transformers 4.45.1
- Pytorch 1.13.1+cu117
- Datasets 3.0.1
- Tokenizers 0.20.0