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-nicole
results: []
videomae-base-nicole
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: 0.8055
- Accuracy: 0.7969
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: 8
- eval_batch_size: 8
- 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: 500
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.368 | 0.102 | 51 | 1.4286 | 0.2903 |
| 1.1282 | 1.102 | 102 | 1.0812 | 0.4516 |
| 0.8288 | 2.102 | 153 | 1.4727 | 0.4194 |
| 0.3846 | 3.102 | 204 | 1.1547 | 0.6774 |
| 0.3053 | 4.102 | 255 | 1.1199 | 0.6774 |
| 0.0898 | 5.102 | 306 | 0.6689 | 0.7742 |
| 0.304 | 6.102 | 357 | 0.6001 | 0.8065 |
| 0.1134 | 7.102 | 408 | 0.5982 | 0.8710 |
| 0.0641 | 8.102 | 459 | 0.4034 | 0.9032 |
| 0.0834 | 9.082 | 500 | 0.3761 | 0.9032 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.0.1+cu117
- Datasets 3.1.0
- Tokenizers 0.20.3