metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: satriadata
results: []
satriadata
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2882
- F1: 0.9313
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 | F1 |
|---|---|---|---|---|
| 1.4263 | 1.0 | 858 | 0.6262 | 0.7950 |
| 0.441 | 2.0 | 1716 | 0.3486 | 0.8907 |
| 0.2177 | 3.0 | 2574 | 0.3404 | 0.9014 |
| 0.1635 | 4.0 | 3432 | 0.2860 | 0.9276 |
| 0.1014 | 5.0 | 4290 | 0.2882 | 0.9313 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1