metadata
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: videomae-base-SOCAL1-finetune
results: []
videomae-base-SOCAL1-finetune
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: 0.7559
- F1: 0.6420
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: 4
- eval_batch_size: 4
- 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: 138
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.6991 | 0.17 | 23 | 0.7139 | 0.7089 |
| 0.6361 | 1.17 | 46 | 0.7703 | 0.7089 |
| 0.882 | 2.17 | 69 | 0.6996 | 0.1333 |
| 0.657 | 3.17 | 92 | 0.7329 | 0.7089 |
| 0.64 | 4.17 | 115 | 0.7165 | 0.7089 |
| 0.6312 | 5.17 | 138 | 0.6639 | 0.7089 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.15.0