5-convnextv2-huge-22k-384-finetuned-spiderTraining50-200
This model is a fine-tuned version of facebook/convnextv2-huge-22k-384 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1990
- Accuracy: 0.9439
- Precision: 0.9439
- Recall: 0.9439
- F1: 0.9425
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: 5
- eval_batch_size: 5
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 20
- 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 |
|---|---|---|---|---|---|---|---|
| 1.1014 | 1.0 | 399 | 0.5745 | 0.8428 | 0.8568 | 0.8422 | 0.8357 |
| 0.5338 | 2.0 | 799 | 0.3466 | 0.8969 | 0.8995 | 0.8968 | 0.8934 |
| 0.4343 | 3.0 | 1199 | 0.2666 | 0.9239 | 0.9292 | 0.9256 | 0.9231 |
| 0.2723 | 4.0 | 1599 | 0.2246 | 0.9299 | 0.9332 | 0.9316 | 0.9299 |
| 0.1415 | 4.99 | 1995 | 0.1990 | 0.9439 | 0.9439 | 0.9439 | 0.9425 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3