---
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
model-index:
- name: CS505-NerCSI-PhoBERT
  results: []
---

<!-- 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. -->

# CS505-NerCSI-PhoBERT

This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co./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