metadata
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: videomae-base-finetuned-ElderReact-anger-balancedf1
results: []
videomae-base-finetuned-ElderReact-anger-balancedf1
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: 0.7424
- F1: 0.5798
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: 16
- eval_batch_size: 16
- 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: 240
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.7339 | 0.1 | 25 | 0.6865 | 0.4463 |
| 0.7007 | 1.1 | 50 | 0.7107 | 0.0476 |
| 0.6854 | 2.1 | 75 | 0.6994 | 0.4975 |
| 0.715 | 3.1 | 100 | 0.7238 | 0.1333 |
| 0.6866 | 4.1 | 125 | 0.7563 | 0.0195 |
| 0.6564 | 5.1 | 150 | 0.7628 | 0.1564 |
| 0.5809 | 6.1 | 175 | 0.7543 | 0.3831 |
| 0.6035 | 7.1 | 200 | 0.7983 | 0.2122 |
| 0.6153 | 8.1 | 225 | 0.7542 | 0.4063 |
| 0.5099 | 9.06 | 240 | 0.7408 | 0.4526 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2