metadata
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
model-index:
- name: CS505-NerCSI-PhoBERT
results: []
CS505-NerCSI-PhoBERT
This model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0122
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: 8
- seed: 41
- 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 |
|---|---|---|---|
| No log | 1.0 | 369 | 0.2480 |
| 0.386 | 2.0 | 738 | 0.1726 |
| 0.2271 | 3.0 | 1107 | 0.1316 |
| 0.2271 | 4.0 | 1476 | 0.0847 |
| 0.1506 | 5.0 | 1845 | 0.0519 |
| 0.0895 | 6.0 | 2214 | 0.0376 |
| 0.0582 | 7.0 | 2583 | 0.0256 |
| 0.0582 | 8.0 | 2952 | 0.0181 |
| 0.035 | 9.0 | 3321 | 0.0158 |
| 0.0228 | 10.0 | 3690 | 0.0122 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2