metadata
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
model-index:
- name: CS505-L2T_AP1_CSI-PhoBERT
results: []
CS505-L2T_AP1_CSI-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: 0.0045
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 | 333 | 0.2105 |
| 0.2803 | 1.99 | 666 | 0.1425 |
| 0.2803 | 2.99 | 999 | 0.0768 |
| 0.149 | 3.99 | 1332 | 0.0577 |
| 0.0771 | 4.99 | 1665 | 0.0252 |
| 0.0771 | 5.98 | 1998 | 0.0281 |
| 0.0443 | 6.98 | 2331 | 0.0089 |
| 0.0196 | 7.98 | 2664 | 0.0053 |
| 0.0196 | 8.97 | 2997 | 0.0072 |
| 0.0124 | 9.97 | 3330 | 0.0045 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2