metadata
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
model-index:
- name: KLTN_CSI_PhoBERRT_v2
results: []
KLTN_CSI_PhoBERRT_v2
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: 0.0007
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 369 | 0.1283 |
| 0.2465 | 2.0 | 738 | 0.0901 |
| 0.1381 | 3.0 | 1107 | 0.0591 |
| 0.1381 | 4.0 | 1476 | 0.0484 |
| 0.0916 | 5.0 | 1845 | 0.0397 |
| 0.0455 | 6.0 | 2214 | 0.0151 |
| 0.0335 | 7.0 | 2583 | 0.0170 |
| 0.0335 | 8.0 | 2952 | 0.0157 |
| 0.0164 | 9.0 | 3321 | 0.0036 |
| 0.01 | 10.0 | 3690 | 0.0018 |
| 0.0065 | 11.0 | 4059 | 0.0031 |
| 0.0065 | 12.0 | 4428 | 0.0030 |
| 0.0057 | 13.0 | 4797 | 0.0053 |
| 0.0071 | 14.0 | 5166 | 0.0007 |
| 0.0022 | 15.0 | 5535 | 0.0007 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2