timesformer-base-finetuned-k400-continual-lora-ucf101-til-02-continual-lora-ucf101-til-03
This model is a fine-tuned version of NiiCole/timesformer-base-finetuned-k400-continual-lora-ucf101-til-02 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.4504
- Accuracy: 0.0
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: 2
- eval_batch_size: 2
- 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: 3768
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
2.1682 | 0.5 | 1885 | 2.3425 | 0.7215 |
1.785 | 1.5 | 3768 | 1.6384 | 0.7948 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.0+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
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