t5spiders
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: 0.4612
- Accuracy: 0.9
- Precision: 0.9035
- Recall: 0.9103
- F1: 0.9024
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 |
|---|---|---|---|---|---|---|---|
| No log | 0.96 | 6 | 1.1803 | 0.68 | 0.6789 | 0.6869 | 0.6751 |
| 1.3235 | 1.92 | 12 | 0.7862 | 0.84 | 0.8603 | 0.8570 | 0.8388 |
| 1.3235 | 2.88 | 18 | 0.5749 | 0.9 | 0.9035 | 0.9103 | 0.9024 |
| 0.6609 | 4.0 | 25 | 0.4798 | 0.9 | 0.9035 | 0.9103 | 0.9024 |
| 0.43 | 4.8 | 30 | 0.4612 | 0.9 | 0.9035 | 0.9103 | 0.9024 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3