---
library_name: transformers
license: mit
base_model: vinai/bartpho-word-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
model-index:
- name: BartPho_base
  results: []
---

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

This model is a fine-tuned version of [vinai/bartpho-word-base](https://huggingface.co/vinai/bartpho-word-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3964
- Bleu Score: 0.0
- Precision: 0.0
- Recall: 0.0
- Gen Len: 13.957
- Err: 0.0

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu Score | Precision | Recall | Gen Len | Err |
|:-------------:|:-----:|:----:|:---------------:|:----------:|:---------:|:------:|:-------:|:---:|
| 5.1513        | 1.0   | 838  | 4.6875          | 0.0        | 0.0       | 0.0    | 14.4624 | 0.0 |
| 4.2845        | 2.0   | 1676 | 4.4790          | 0.224      | 0.0       | 0.0    | 13.7551 | 0.0 |
| 3.7487        | 3.0   | 2514 | 4.3964          | 0.0        | 0.0       | 0.0    | 13.957  | 0.0 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1