convnext-base-224-22k-finetuned-Human_Action_Recognition-albumentations
This model is a fine-tuned version of facebook/convnext-base-224-22k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4392
- Accuracy: 0.8730
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8569 | 0.9915 | 88 | 0.6359 | 0.8349 |
| 0.5824 | 1.9944 | 177 | 0.4750 | 0.8675 |
| 0.4928 | 2.9746 | 264 | 0.4392 | 0.8730 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1