metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-bekhoaxe
results: []
videomae-base-finetuned-bekhoaxe
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0202
- Accuracy: 0.9887
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: 848
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.337 | 0.25 | 212 | 0.1345 | 0.9509 |
| 0.5753 | 1.25 | 424 | 0.0557 | 0.9789 |
| 0.1747 | 2.25 | 636 | 0.0092 | 0.9965 |
| 0.001 | 3.25 | 848 | 0.0051 | 0.9965 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2