---
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
should probably proofread and complete it, then remove this comment. -->

# 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: 1.5114

## 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  | 1.2212          |
| 1.3994        | 2.0   | 694  | 1.1186          |
| 0.9316        | 3.0   | 1041 | 1.0279          |
| 0.9316        | 4.0   | 1388 | 1.1096          |
| 0.6575        | 5.0   | 1735 | 1.2512          |
| 0.4674        | 6.0   | 2082 | 1.2984          |
| 0.4674        | 7.0   | 2429 | 1.3759          |
| 0.316         | 8.0   | 2776 | 1.4951          |
| 0.2235        | 9.0   | 3123 | 1.5252          |
| 0.2235        | 10.0  | 3470 | 1.5642          |


### Framework versions

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