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-ucfsuc-subset
results: []
videomae-base-finetuned-ucfsuc-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: 0.6334
- Accuracy: 0.7079
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 310
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7131 | 0.1032 | 32 | 0.7573 | 0.3596 |
| 0.7351 | 1.1032 | 64 | 0.6929 | 0.5393 |
| 0.6892 | 2.1032 | 96 | 0.7539 | 0.5393 |
| 0.693 | 3.1032 | 128 | 0.7079 | 0.5169 |
| 0.5903 | 4.1032 | 160 | 0.7080 | 0.6180 |
| 0.626 | 5.1032 | 192 | 0.6610 | 0.6854 |
| 0.6316 | 6.1032 | 224 | 0.5789 | 0.7303 |
| 0.5287 | 7.1032 | 256 | 0.6366 | 0.7079 |
| 0.6648 | 8.1032 | 288 | 0.6215 | 0.7191 |
| 0.4605 | 9.0710 | 310 | 0.6334 | 0.7079 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3