BARTBana_Before
This model is a fine-tuned version of vinai/bartpho-syllable on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4830
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.2274 | 1.0 | 677 | 3.7284 |
| 3.8195 | 2.0 | 1354 | 2.6138 |
| 2.5688 | 3.0 | 2031 | 2.2841 |
| 2.3493 | 4.0 | 2708 | 2.0703 |
| 2.187 | 5.0 | 3385 | 1.9266 |
| 1.9879 | 6.0 | 4062 | 1.8244 |
| 1.9203 | 7.0 | 4739 | 1.7417 |
| 1.8537 | 8.0 | 5416 | 1.6667 |
| 1.7535 | 9.0 | 6093 | 1.6369 |
| 1.7223 | 10.0 | 6770 | 1.6014 |
| 1.6815 | 11.0 | 7447 | 1.5564 |
| 1.6334 | 12.0 | 8124 | 1.5452 |
| 1.6219 | 13.0 | 8801 | 1.5036 |
| 1.589 | 14.0 | 9478 | 1.5131 |
| 1.5717 | 15.0 | 10155 | 1.5005 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Downloads last month
- 10
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.