convnextv2-tiny-22k-384-0.0001-finetuned-spiderTraining50-200
This model is a fine-tuned version of facebook/convnextv2-tiny-22k-384 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4409
- Accuracy: 0.8729
- Precision: 0.8706
- Recall: 0.8714
- F1: 0.8672
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 1.6172 | 1.0 | 125 | 1.2793 | 0.6767 | 0.7024 | 0.6713 | 0.6581 |
| 0.9187 | 2.0 | 250 | 0.7649 | 0.7918 | 0.8129 | 0.7878 | 0.7869 |
| 0.6421 | 3.0 | 375 | 0.5605 | 0.8458 | 0.8577 | 0.8418 | 0.8397 |
| 0.5017 | 4.0 | 500 | 0.4645 | 0.8719 | 0.8717 | 0.8722 | 0.8672 |
| 0.4235 | 5.0 | 625 | 0.4409 | 0.8729 | 0.8706 | 0.8714 | 0.8672 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3