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: 0.4899
- Accuracy: 0.8452
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: 148
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.1766 | 0.2568 | 38 | 1.8834 | 0.3714 |
| 0.9235 | 1.2568 | 76 | 0.9823 | 0.7 |
| 0.4731 | 2.2568 | 114 | 0.5888 | 0.8429 |
| 0.3333 | 3.2297 | 148 | 0.4928 | 0.8857 |
Framework versions
- Transformers 4.46.0.dev0
- Pytorch 2.2.2
- Datasets 3.0.1
- Tokenizers 0.20.0