metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-Vsl-Lab-PC-V10
results: []
videomae-base-Vsl-Lab-PC-V10
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9720
- Accuracy: 0.8584
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: 10
- eval_batch_size: 10
- 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: 160
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0 | 0.51 | 81 | 1.2591 | 0.8283 |
| 0.0001 | 1.49 | 160 | 0.9720 | 0.8584 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2