metadata
license: cc-by-nc-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: MCG-NJU/videomae-base-short-finetuned-ssv2
model-index:
- name: videomae-base-short-finetuned-ssv2-finetuned-rwf2000-epochs8-batch8
results: []
videomae-base-short-finetuned-ssv2-finetuned-rwf2000-epochs8-batch8
This model is a fine-tuned version of MCG-NJU/videomae-base-short-finetuned-ssv2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7821
- Accuracy: 0.6713
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 3200
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4247 | 0.06 | 200 | 0.4205 | 0.8063 |
| 0.4125 | 1.06 | 400 | 0.6749 | 0.72 |
| 0.3265 | 2.06 | 600 | 1.3838 | 0.5763 |
| 0.2204 | 3.06 | 800 | 0.6725 | 0.7275 |
| 0.2965 | 4.06 | 1000 | 0.4583 | 0.8263 |
| 0.1883 | 5.06 | 1200 | 0.3786 | 0.8488 |
| 0.1321 | 6.06 | 1400 | 1.6632 | 0.5962 |
| 0.369 | 7.06 | 1600 | 0.6018 | 0.8063 |
| 0.3764 | 8.06 | 1800 | 0.8546 | 0.74 |
| 0.2401 | 9.06 | 2000 | 0.5422 | 0.825 |
| 0.1943 | 10.06 | 2200 | 0.5868 | 0.8113 |
| 0.1352 | 11.06 | 2400 | 0.7111 | 0.8063 |
| 0.2276 | 12.06 | 2600 | 0.8847 | 0.7812 |
| 0.149 | 13.06 | 2800 | 0.8581 | 0.7837 |
| 0.0848 | 14.06 | 3000 | 0.8707 | 0.7788 |
| 0.046 | 15.06 | 3200 | 0.7914 | 0.7963 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cu117
- Datasets 2.8.0
- Tokenizers 0.13.2