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fine-tuned-IndoNLI-Translated-with-indobert-base-uncased
This model is a fine-tuned version of indolem/indobert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5918
- Accuracy: 0.8086
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.7792 | 1.0 | 6136 | 0.5538 | 0.7817 |
0.5488 | 2.0 | 12272 | 0.5159 | 0.7991 |
0.4741 | 3.0 | 18408 | 0.5184 | 0.8046 |
0.4166 | 4.0 | 24544 | 0.5195 | 0.8116 |
0.3694 | 5.0 | 30680 | 0.5424 | 0.8090 |
0.3282 | 6.0 | 36816 | 0.5568 | 0.8072 |
0.2947 | 7.0 | 42952 | 0.5918 | 0.8086 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.2.0
- Tokenizers 0.13.2