datatrain-videomae-base-finetuned-lr3.1622776601683795e-05-poly3
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: 1.1740
- Accuracy: 0.6065
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: 3.1622776601683795e-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: polynomial
- training_steps: 3096
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1857 | 0.5003 | 1549 | 1.5518 | 0.4921 |
| 1.4516 | 1.4997 | 3096 | 1.4899 | 0.5193 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1
- Datasets 3.3.2
- Tokenizers 0.19.1
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Model tree for EloiseInacio/datatrain-videomae-base-finetuned-lr3.1622776601683795e-05-poly3
Base model
MCG-NJU/videomae-base