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-Cheh2_ucf_light_demo-10epochs
results: []
videomae-base-finetuned-Cheh2_ucf_light_demo-10epochs
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: 1.6448
- Accuracy: 0.5270
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: 15010
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.3441 | 0.1001 | 1502 | 2.3923 | 0.2469 |
| 1.6506 | 1.1001 | 3004 | 2.0596 | 0.3513 |
| 1.1963 | 2.1001 | 4506 | 2.0148 | 0.4035 |
| 1.5381 | 3.1001 | 6008 | 1.8796 | 0.4262 |
| 1.5438 | 4.1001 | 7510 | 1.8851 | 0.4398 |
| 1.225 | 5.1001 | 9012 | 1.7874 | 0.4649 |
| 1.038 | 6.1001 | 10514 | 1.7263 | 0.4852 |
| 1.0129 | 7.1001 | 12016 | 1.7192 | 0.5046 |
| 1.0309 | 8.1001 | 13518 | 1.6448 | 0.5270 |
| 0.91 | 9.0994 | 15010 | 1.6655 | 0.5144 |
Framework versions
- Transformers 4.43.4
- Pytorch 2.4.1
- Datasets 2.20.0
- Tokenizers 0.19.1