metadata
library_name: transformers
license: mit
base_model: microsoft/deberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
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: 0.5291
- Accuracy: 0.9043
- F1: 0.9320
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: 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: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
0.4082 | 1.0 | 760 | 0.3256 | 0.8720 | 0.9050 |
0.2193 | 2.0 | 1520 | 0.2805 | 0.8967 | 0.9259 |
0.1571 | 3.0 | 2280 | 0.3280 | 0.9089 | 0.9357 |
0.0947 | 4.0 | 3040 | 0.4283 | 0.9112 | 0.9368 |
0.0489 | 5.0 | 3800 | 0.5291 | 0.9043 | 0.9320 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.4.0
- Tokenizers 0.19.1