metadata
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-ucf101-subset
results: []
videomae-base-finetuned-ucf101-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: 0.2412
- Accuracy: 0.9484
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 148
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.3597 | 0.1284 | 19 | 2.0514 | 0.4714 |
| 1.9928 | 1.1284 | 38 | 1.4878 | 0.5429 |
| 1.1016 | 2.1284 | 57 | 0.7900 | 0.7857 |
| 0.4919 | 3.1284 | 76 | 0.5123 | 0.8286 |
| 0.324 | 4.1284 | 95 | 0.3623 | 0.8714 |
| 0.167 | 5.1284 | 114 | 0.2944 | 0.8857 |
| 0.1024 | 6.1284 | 133 | 0.2258 | 0.9 |
| 0.0915 | 7.1014 | 148 | 0.2249 | 0.9 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1