metadata
license: mit
library_name: peft
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: microsoft/deberta-v3-base
model-index:
- name: trainer
results: []
trainer
This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5146
- Accuracy: {'accuracy': 0.8154339363407374}
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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3938 | 1.0 | 2772 | 0.5646 | {'accuracy': 0.7842912754751545} |
| 0.3103 | 2.0 | 5544 | 0.5375 | {'accuracy': 0.7945958323792077} |
| 0.2796 | 3.0 | 8316 | 0.5112 | {'accuracy': 0.8124570643462331} |
| 0.2611 | 4.0 | 11088 | 0.5146 | {'accuracy': 0.8154339363407374} |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2