videomae-base-finetuned-crema-d-finetuned-elder-creama-d-pretuned
This model is a fine-tuned version of minhah/videomae-base-finetuned-crema-d on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6397
- Accuracy: 0.3531
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: 8
- eval_batch_size: 8
- 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: 1152
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
1.6688 | 0.13 | 145 | 1.6217 | 0.3380 |
1.5751 | 1.13 | 290 | 1.6644 | 0.2630 |
1.5395 | 2.13 | 435 | 1.6250 | 0.3233 |
1.679 | 3.13 | 580 | 1.7084 | 0.2104 |
1.5276 | 4.13 | 725 | 1.6725 | 0.2630 |
1.4864 | 5.13 | 870 | 1.6777 | 0.2756 |
1.5555 | 6.13 | 1015 | 1.7054 | 0.2763 |
1.5678 | 7.12 | 1152 | 1.7471 | 0.2440 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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