videomae-base-finetuned-beilinson-6epochs
This model is a fine-tuned version of DaliaSherman/videomae-base-finetuned-beilinson on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1208
- Accuracy: 0.3948
Model description
More information needed
Intended uses & limitations
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 156
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.7753 | 0.3333 | 52 | 2.5961 | 0.1974 |
| 1.7673 | 1.3333 | 104 | 2.3099 | 0.3090 |
| 1.4461 | 2.3333 | 156 | 2.1208 | 0.3948 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for DaliaSherman/videomae-base-finetuned-beilinson-6epochs
Base model
MCG-NJU/videomae-base