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-masa
results: []
videomae-base-finetuned-masa
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: 0.0031
- Accuracy: 1.0
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: 9e-05
- train_batch_size: 1
- eval_batch_size: 1
- 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: 225
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.601 | 0.0667 | 15 | 1.3659 | 0.8 |
| 1.5638 | 1.0667 | 30 | 1.4763 | 0.4 |
| 1.1535 | 2.0667 | 45 | 1.2764 | 0.6 |
| 0.637 | 3.0667 | 60 | 0.6158 | 0.8 |
| 0.809 | 4.0667 | 75 | 1.1473 | 0.4 |
| 0.6648 | 5.0667 | 90 | 0.6767 | 0.6 |
| 0.4322 | 6.0667 | 105 | 0.8144 | 0.8 |
| 0.3076 | 7.0667 | 120 | 0.1087 | 1.0 |
| 0.0364 | 8.0667 | 135 | 0.1052 | 1.0 |
| 0.0037 | 9.0667 | 150 | 0.0106 | 1.0 |
| 0.0027 | 10.0667 | 165 | 0.0075 | 1.0 |
| 0.0029 | 11.0667 | 180 | 0.0058 | 1.0 |
| 0.0049 | 12.0667 | 195 | 0.0033 | 1.0 |
| 0.0028 | 13.0667 | 210 | 0.0031 | 1.0 |
| 0.0027 | 14.0667 | 225 | 0.0031 | 1.0 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1