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: 0.7345
- F1: 0.7429
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: 1e-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: 92
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 0.25 | 23 | 0.6788 | 0.8235 |
| No log | 1.25 | 46 | 0.6501 | 0.8235 |
| No log | 2.25 | 69 | 0.6339 | 0.8235 |
| No log | 3.25 | 92 | 0.6372 | 0.8235 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.15.0
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Model tree for RRHF/videomae-base-SOCAL1-finetune
Base model
MCG-NJU/videomae-base