convnextv2-tiny-22k-384-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: 0.6618
- Accuracy: 0.8408
- Precision: 0.8430
- Recall: 0.8393
- F1: 0.8361
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: 16
- eval_batch_size: 16
- seed: 42
- 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 |
|---|---|---|---|---|---|---|---|
| 2.2156 | 1.0 | 125 | 1.9182 | 0.6036 | 0.6139 | 0.5965 | 0.5754 |
| 1.2471 | 2.0 | 250 | 1.0718 | 0.7427 | 0.7609 | 0.7412 | 0.7358 |
| 0.9458 | 3.0 | 375 | 0.7971 | 0.7998 | 0.8151 | 0.7983 | 0.7968 |
| 0.7643 | 4.0 | 500 | 0.6945 | 0.8318 | 0.8318 | 0.8304 | 0.8272 |
| 0.7085 | 5.0 | 625 | 0.6618 | 0.8408 | 0.8430 | 0.8393 | 0.8361 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3