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-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: 0.5372
- Accuracy: 0.7978
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 265
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.2682 | 0.2038 | 54 | 2.0374 | 0.3214 |
| 1.0997 | 1.2038 | 108 | 1.0029 | 0.6667 |
| 0.6996 | 2.2038 | 162 | 0.7633 | 0.7857 |
| 0.7031 | 3.2038 | 216 | 0.5940 | 0.7857 |
| 0.4078 | 4.1849 | 265 | 0.5297 | 0.8452 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.0.1+cu117
- Datasets 3.0.2
- Tokenizers 0.19.1