metadata
library_name: transformers
license: mit
base_model: microsoft/deberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: deberta_textclassification
results: []
deberta_textclassification
This model is a fine-tuned version of microsoft/deberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3436
- Accuracy: 0.9520
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 |
|---|---|---|---|---|
| 0.3919 | 0.2924 | 500 | 0.2821 | 0.9184 |
| 0.274 | 0.5848 | 1000 | 0.2795 | 0.9362 |
| 0.2552 | 0.8772 | 1500 | 0.2469 | 0.9355 |
| 0.2148 | 1.1696 | 2000 | 0.3214 | 0.9421 |
| 0.1876 | 1.4620 | 2500 | 0.2636 | 0.9382 |
| 0.1505 | 1.7544 | 3000 | 0.2323 | 0.9467 |
| 0.1411 | 2.0468 | 3500 | 0.3445 | 0.9395 |
| 0.0676 | 2.3392 | 4000 | 0.3280 | 0.9414 |
| 0.1089 | 2.6316 | 4500 | 0.4225 | 0.9270 |
| 0.0888 | 2.9240 | 5000 | 0.2458 | 0.9520 |
| 0.0544 | 3.2164 | 5500 | 0.2877 | 0.9539 |
| 0.0366 | 3.5088 | 6000 | 0.3010 | 0.9553 |
| 0.0322 | 3.8012 | 6500 | 0.3508 | 0.9474 |
| 0.0313 | 4.0936 | 7000 | 0.3302 | 0.9520 |
| 0.0191 | 4.3860 | 7500 | 0.3527 | 0.9493 |
| 0.0118 | 4.6784 | 8000 | 0.3378 | 0.9513 |
| 0.0189 | 4.9708 | 8500 | 0.3436 | 0.9520 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.4.0
- Tokenizers 0.19.1