metadata
license: mit
library_name: peft
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: microsoft/deberta-v3-xsmall
model-index:
- name: STS-Lora-Fine-Tuning-Capstone-Deberta-old-model-pipe-test_augmentation
results: []
STS-Lora-Fine-Tuning-Capstone-Deberta-old-model-pipe-test_augmentation
This model is a fine-tuned version of microsoft/deberta-v3-xsmall on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2431
- Accuracy: 0.4627
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 360 | 1.7500 | 0.2429 |
| 1.7474 | 2.0 | 720 | 1.7255 | 0.2451 |
| 1.681 | 3.0 | 1080 | 1.6291 | 0.3332 |
| 1.681 | 4.0 | 1440 | 1.4764 | 0.4130 |
| 1.5419 | 5.0 | 1800 | 1.4165 | 0.4159 |
| 1.4014 | 6.0 | 2160 | 1.3548 | 0.4336 |
| 1.3269 | 7.0 | 2520 | 1.3122 | 0.4456 |
| 1.3269 | 8.0 | 2880 | 1.3003 | 0.4529 |
| 1.2821 | 9.0 | 3240 | 1.2830 | 0.4572 |
| 1.2516 | 10.0 | 3600 | 1.2757 | 0.4576 |
| 1.2516 | 11.0 | 3960 | 1.2619 | 0.4590 |
| 1.2304 | 12.0 | 4320 | 1.2501 | 0.4670 |
| 1.2172 | 13.0 | 4680 | 1.2674 | 0.4583 |
| 1.2043 | 14.0 | 5040 | 1.2459 | 0.4656 |
| 1.2043 | 15.0 | 5400 | 1.2464 | 0.4627 |
| 1.1956 | 16.0 | 5760 | 1.2439 | 0.4645 |
| 1.1814 | 17.0 | 6120 | 1.2395 | 0.4648 |
| 1.1814 | 18.0 | 6480 | 1.2429 | 0.4637 |
| 1.1816 | 19.0 | 6840 | 1.2450 | 0.4634 |
| 1.1794 | 20.0 | 7200 | 1.2431 | 0.4627 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2