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: 0.2883
- Accuracy: 0.8857
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: 5
- eval_batch_size: 5
- 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: 240
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.8756 | 0.25 | 60 | 1.7043 | 0.5143 |
| 0.8932 | 1.25 | 120 | 0.7962 | 0.7714 |
| 0.2907 | 2.25 | 180 | 0.4615 | 0.8 |
| 0.2217 | 3.25 | 240 | 0.2883 | 0.8857 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.3.1
- Datasets 2.20.0
- Tokenizers 0.19.1