deberta-v3-large_v3_relationships
This model is a fine-tuned version of bobbyw/deberta-v3-large_v3_relationships on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0124
- Accuracy: 0.0038
- F1: 0.0038
- Precision: 0.0019
- Recall: 0.4242
- Learning Rate: 0.002
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: 2e-06
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Rate |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 382 | 0.0109 | 0.0027 | 0.0046 | 0.0023 | 0.5152 | 0.002 |
| 0.0043 | 2.0 | 764 | 0.0106 | 0.0026 | 0.0046 | 0.0023 | 0.5152 | 0.002 |
| 0.0041 | 3.0 | 1146 | 0.0115 | 0.0028 | 0.0051 | 0.0026 | 0.5758 | 0.002 |
| 0.004 | 4.0 | 1528 | 0.0132 | 0.0031 | 0.0048 | 0.0024 | 0.5455 | 0.002 |
| 0.004 | 5.0 | 1910 | 0.0140 | 0.0032 | 0.0046 | 0.0023 | 0.5152 | 0.002 |
| 0.0043 | 6.0 | 2292 | 0.0116 | 0.0032 | 0.0046 | 0.0023 | 0.5152 | 0.002 |
| 0.0044 | 7.0 | 2674 | 0.0129 | 0.0027 | 0.0043 | 0.0022 | 0.4848 | 0.002 |
| 0.0038 | 8.0 | 3056 | 0.0124 | 0.0038 | 0.0038 | 0.0019 | 0.4242 | 0.002 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1