metadata
license: cc-by-nc-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-large-finetuned-kinetics-mopping
results: []
videomae-large-finetuned-kinetics-mopping
This model is a fine-tuned version of MCG-NJU/videomae-large-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4468
- Accuracy: 0.7368
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: 2
- eval_batch_size: 2
- 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: 1672
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6868 | 0.25 | 418 | 0.7474 | 0.2115 |
| 0.7265 | 1.25 | 836 | 0.6472 | 0.6026 |
| 0.6854 | 2.25 | 1254 | 0.6211 | 0.6346 |
| 0.7829 | 3.25 | 1672 | 0.5959 | 0.7115 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.0+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3