videomae-base-finetuned-NOSTRO-Nuovo-subset
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: 2.5911
- Accuracy: 0.1585
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: 0.005
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 448
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.8766 | 0.3125 | 140 | 2.7276 | 0.0625 |
| 2.719 | 1.3125 | 280 | 2.6597 | 0.0938 |
| 2.6488 | 2.3125 | 420 | 2.6379 | 0.0938 |
| 2.573 | 3.0625 | 448 | 2.6363 | 0.0938 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.0.1+cu117
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for auli16/videomae-base-finetuned-NOSTRO-Nuovo-subset
Base model
MCG-NJU/videomae-base