---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: Beit_PhoBart
  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. -->

# Beit_PhoBart

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5865
- Bleu-4: 0.0954

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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
- lr_scheduler_warmup_steps: 300
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu-4 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 236  | 1.7574          | 0.0672 |
| 1.9578        | 2.0   | 472  | 1.6226          | 0.0748 |
| 1.5495        | 3.0   | 708  | 1.5523          | 0.0796 |
| 1.3763        | 4.0   | 944  | 1.4998          | 0.0821 |
| 1.3763        | 5.0   | 1180 | 1.4815          | 0.0881 |
| 1.2355        | 6.0   | 1416 | 1.4835          | 0.0875 |
| 1.1027        | 7.0   | 1652 | 1.4790          | 0.0926 |
| 0.9865        | 8.0   | 1888 | 1.5128          | 0.0925 |
| 0.884         | 9.0   | 2124 | 1.5453          | 0.0956 |
| 0.884         | 10.0  | 2360 | 1.5865          | 0.0954 |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3