---
license: mit
base_model: vinai/phobert-base
tags:
- generated_from_trainer
model-index:
- name: DACN3_LVC
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# DACN3_LVC

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: 1.5842

## 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: 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   | 347  | 1.7157          |
| 1.7535        | 2.0   | 694  | 1.6597          |
| 1.6281        | 3.0   | 1041 | 1.5573          |
| 1.6281        | 4.0   | 1388 | 1.5429          |
| 1.4586        | 5.0   | 1735 | 1.5283          |
| 1.3473        | 6.0   | 2082 | 1.5098          |
| 1.3473        | 7.0   | 2429 | 1.4875          |
| 1.2424        | 8.0   | 2776 | 1.5099          |
| 1.1512        | 9.0   | 3123 | 1.5074          |
| 1.1512        | 10.0  | 3470 | 1.5196          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.4.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2