metadata
license: mit
base_model: microsoft/deberta-v3-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: deberta-police-mission-statement
results: []
deberta-police-mission-statement
This model is a fine-tuned version of microsoft/deberta-v3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4020
- Accuracy: 0.9233
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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 396 | 0.5317 | 0.8892 |
| 0.3449 | 2.0 | 792 | 0.3067 | 0.9205 |
| 0.1981 | 3.0 | 1188 | 0.2893 | 0.9318 |
| 0.1183 | 4.0 | 1584 | 0.3532 | 0.9318 |
| 0.1183 | 5.0 | 1980 | 0.4020 | 0.9233 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0