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
results: []
STS-Lora-Fine-Tuning-Capstone-Deberta-old-model-pipe-test
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: 1.4820
- Accuracy: 0.3771
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 360 | 1.7474 | 0.2429 |
| 1.7416 | 2.0 | 720 | 1.7279 | 0.2429 |
| 1.6866 | 3.0 | 1080 | 1.6799 | 0.2883 |
| 1.6866 | 4.0 | 1440 | 1.6220 | 0.3372 |
| 1.6241 | 5.0 | 1800 | 1.5787 | 0.3466 |
| 1.5474 | 6.0 | 2160 | 1.5306 | 0.3604 |
| 1.484 | 7.0 | 2520 | 1.5180 | 0.3626 |
| 1.484 | 8.0 | 2880 | 1.5028 | 0.3706 |
| 1.4452 | 9.0 | 3240 | 1.4871 | 0.3753 |
| 1.429 | 10.0 | 3600 | 1.4820 | 0.3771 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2