metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-ucf101-subset
results: []
videomae-base-finetuned-ucf101-subset
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5534
- Accuracy: 0.7742
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: 148
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.1444 | 0.2568 | 38 | 1.8018 | 0.4571 |
| 0.876 | 1.2568 | 76 | 1.0229 | 0.5857 |
| 0.4885 | 2.2568 | 114 | 0.6728 | 0.7429 |
| 0.2917 | 3.2297 | 148 | 0.4904 | 0.8571 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1