metadata
license: mit
base_model: microsoft/deberta-v3-small
tags:
- generated_from_trainer
datasets:
- autextification2023
metrics:
- accuracy
model-index:
- name: deberta-v3-small-autextification-adapter
results: []
deberta-v3-small-autextification-adapter
This model is a fine-tuned version of microsoft/deberta-v3-small on the autextification2023 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6941
- Accuracy: 0.4874
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: 0.0001
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6969 | 1.0 | 3808 | 0.6930 | 0.5034 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1