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: 0.5280
- Accuracy: 0.8051
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: 4
- eval_batch_size: 4
- 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: 1300
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5307 | 0.1008 | 131 | 0.5135 | 0.7897 |
| 0.7467 | 1.1008 | 262 | 0.4954 | 0.7863 |
| 0.5834 | 2.1008 | 393 | 0.5522 | 0.7419 |
| 0.5894 | 3.1008 | 524 | 0.5229 | 0.8171 |
| 0.536 | 4.1008 | 655 | 0.4529 | 0.8154 |
| 0.5135 | 5.1008 | 786 | 0.4495 | 0.8205 |
| 0.4498 | 6.1008 | 917 | 0.5333 | 0.8034 |
| 0.5968 | 7.1008 | 1048 | 0.5310 | 0.8205 |
| 0.5063 | 8.1008 | 1179 | 0.5089 | 0.8137 |
| 0.4491 | 9.0931 | 1300 | 0.5280 | 0.8051 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.0.1+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1