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---
library_name: transformers
license: mit
base_model: vinai/phobert-base
tags:
- generated_from_trainer
model-index:
- name: Model
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. -->
# Model
This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4924
## 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: 16
- seed: 42
- optimizer: Use 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: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 347 | 3.4224 |
| 0.0766 | 2.0 | 694 | 3.0937 |
| 0.0569 | 3.0 | 1041 | 3.4725 |
| 0.0569 | 4.0 | 1388 | 3.3484 |
| 0.0365 | 5.0 | 1735 | 3.5406 |
| 0.0364 | 6.0 | 2082 | 3.3922 |
| 0.0364 | 7.0 | 2429 | 3.2977 |
| 0.0353 | 8.0 | 2776 | 3.3093 |
| 0.0136 | 9.0 | 3123 | 3.5960 |
| 0.0136 | 10.0 | 3470 | 3.5143 |
| 0.0249 | 11.0 | 3817 | 3.5032 |
| 0.0156 | 12.0 | 4164 | 3.5010 |
| 0.0154 | 13.0 | 4511 | 3.4902 |
| 0.0154 | 14.0 | 4858 | 3.5322 |
| 0.0116 | 15.0 | 5205 | 3.4929 |
| 0.0066 | 16.0 | 5552 | 3.5660 |
| 0.0066 | 17.0 | 5899 | 3.5789 |
| 0.0053 | 18.0 | 6246 | 3.5614 |
| 0.003 | 19.0 | 6593 | 3.5579 |
| 0.003 | 20.0 | 6940 | 3.5902 |
### Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 2.16.1
- Tokenizers 0.21.0
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