videomae-base-finetuned-ElderReact-Surprise
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6351
- F1: 0.3846
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: 380
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.6779 | 0.2 | 77 | 0.6470 | 0.3223 |
| 0.7522 | 1.2 | 154 | 0.6581 | 0.2244 |
| 0.7457 | 2.2 | 231 | 0.6343 | 0.2717 |
| 0.7031 | 3.2 | 308 | 0.6174 | 0.4 |
| 0.6696 | 4.19 | 380 | 0.6380 | 0.2452 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for minhah/videomae-base-finetuned-ElderReact-Surprise
Base model
MCG-NJU/videomae-base