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-rwf2000-subset___v3
results: []
videomae-base-finetuned-rwf2000-subset___v3
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: 0.4549
- Accuracy: 0.86
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: 4.5e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5109 | 0.05 | 100 | 0.5774 | 0.6637 |
| 0.3791 | 1.05 | 200 | 0.8587 | 0.6625 |
| 0.3991 | 2.05 | 300 | 0.8032 | 0.66 |
| 0.3369 | 3.05 | 400 | 0.4175 | 0.8125 |
| 0.299 | 4.05 | 500 | 0.6348 | 0.7338 |
| 0.2876 | 5.05 | 600 | 0.7832 | 0.7075 |
| 0.4035 | 6.05 | 700 | 0.4888 | 0.7863 |
| 0.2898 | 7.05 | 800 | 0.4414 | 0.8075 |
| 0.2241 | 8.05 | 900 | 0.3882 | 0.845 |
| 0.2225 | 9.05 | 1000 | 0.3793 | 0.8512 |
| 0.2782 | 10.05 | 1100 | 0.5330 | 0.8013 |
| 0.2424 | 11.05 | 1200 | 0.5796 | 0.7887 |
| 0.1123 | 12.05 | 1300 | 0.5412 | 0.8263 |
| 0.2679 | 13.05 | 1400 | 0.6313 | 0.8163 |
| 0.1511 | 14.05 | 1500 | 0.8940 | 0.7525 |
| 0.1491 | 15.05 | 1600 | 0.8924 | 0.7625 |
| 0.0957 | 16.05 | 1700 | 0.8371 | 0.8 |
| 0.1174 | 17.05 | 1800 | 1.0179 | 0.7625 |
| 0.1375 | 18.05 | 1900 | 0.8003 | 0.8 |
| 0.1027 | 19.05 | 2000 | 0.9485 | 0.7837 |
Framework versions
- Transformers 4.46.2
- Pytorch 1.13.1+cu117
- Datasets 3.1.0
- Tokenizers 0.20.3