metadata
license: cc-by-nc-4.0
base_model: facebook/timesformer-base-finetuned-k400
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: videomae-surf-analytics-runpod
results: []
videomae-surf-analytics-runpod
This model is a fine-tuned version of facebook/timesformer-base-finetuned-k400 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4027
- Accuracy: 0.8838
- F1: 0.8838
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: 12
- eval_batch_size: 12
- 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: 610
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.6712 | 0.1016 | 62 | 0.8671 | 0.6680 | 0.6623 |
| 0.3119 | 1.1016 | 124 | 0.5911 | 0.7884 | 0.7887 |
| 0.2505 | 2.1016 | 186 | 0.5297 | 0.8008 | 0.8002 |
| 0.207 | 3.1016 | 248 | 0.5970 | 0.7801 | 0.7787 |
| 0.1743 | 4.1016 | 310 | 0.5612 | 0.8050 | 0.7984 |
| 0.1005 | 5.1016 | 372 | 0.4027 | 0.8838 | 0.8838 |
| 0.0147 | 6.1016 | 434 | 0.4360 | 0.8589 | 0.8573 |
| 0.0573 | 7.1016 | 496 | 0.4451 | 0.8714 | 0.8697 |
| 0.0143 | 8.1016 | 558 | 0.4099 | 0.8672 | 0.8666 |
| 0.1311 | 9.0852 | 610 | 0.4056 | 0.8755 | 0.8752 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1