<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
massive_indo
This model is a fine-tuned version of xxxxxxxxx on the massive dataset. It achieves the following results on the evaluation set:
- Loss: 0.1219
- F1: 0.9750
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 3.1726 | 0.58 | 100 | 2.2176 | 0.6600 |
| 1.7054 | 1.16 | 200 | 1.0444 | 0.8521 |
| 0.7568 | 1.73 | 300 | 0.4974 | 0.9248 |
| 0.3368 | 2.31 | 400 | 0.2992 | 0.9454 |
| 0.165 | 2.89 | 500 | 0.2052 | 0.9606 |
| 0.0739 | 3.47 | 600 | 0.1621 | 0.9665 |
| 0.0438 | 4.05 | 700 | 0.1568 | 0.9656 |
| 0.0228 | 4.62 | 800 | 0.1331 | 0.9711 |
| 0.0183 | 5.2 | 900 | 0.1249 | 0.9734 |
| 0.011 | 5.78 | 1000 | 0.1238 | 0.9733 |
| 0.0091 | 6.36 | 1100 | 0.1221 | 0.9741 |
| 0.0079 | 6.94 | 1200 | 0.1207 | 0.9756 |
| 0.007 | 7.51 | 1300 | 0.1218 | 0.9750 |
| 0.0064 | 8.09 | 1400 | 0.1216 | 0.9745 |
| 0.006 | 8.67 | 1500 | 0.1218 | 0.9749 |
| 0.0058 | 9.25 | 1600 | 0.1217 | 0.9750 |
| 0.0056 | 9.83 | 1700 | 0.1219 | 0.9750 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Tokenizers 0.14.1
