metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-small-finetuned-ssv2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-small-finetuned-ssv2-finetuned-judo
results: []
videomae-small-finetuned-ssv2-finetuned-judo
This model is a fine-tuned version of MCG-NJU/videomae-small-finetuned-ssv2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6398
- Accuracy: 0.7568
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: Use OptimizerNames.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: 190
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0545 | 0.1053 | 20 | 1.0499 | 0.4324 |
| 0.8731 | 1.1053 | 40 | 1.0377 | 0.4865 |
| 0.7354 | 2.1053 | 60 | 0.9788 | 0.5676 |
| 0.6503 | 3.1053 | 80 | 0.9652 | 0.5946 |
| 0.6196 | 4.1053 | 100 | 0.8469 | 0.5946 |
| 0.5233 | 5.1053 | 120 | 0.7983 | 0.5676 |
| 0.4382 | 6.1053 | 140 | 0.7651 | 0.6757 |
| 0.2919 | 7.1053 | 160 | 0.7395 | 0.7297 |
| 0.3249 | 8.1053 | 180 | 0.6420 | 0.7568 |
| 0.2896 | 9.0526 | 190 | 0.6398 | 0.7568 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0