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: 1.8784
- F1: 0.2821
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 |
|---|---|---|---|---|
| No log | 1.0 | 25 | 2.0445 | 0.1074 |
| No log | 2.0 | 50 | 1.9985 | 0.1987 |
| No log | 3.0 | 75 | 1.9280 | 0.2290 |
| No log | 4.0 | 100 | 1.8904 | 0.2655 |
| No log | 5.0 | 125 | 1.8784 | 0.2821 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for maulairfani/satriadata
Base model
distilbert/distilbert-base-uncased