metadata
library_name: transformers
license: mit
base_model: vinai/bartpho-word-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
model-index:
- name: BartPho_base
results: []
BartPho_base
This model is a fine-tuned version of vinai/bartpho-word-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.2099
- Bleu Score: 0.0
- Precision: 0.0
- Recall: 0.0
- Gen Len: 7.0
- 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: 0.0002
- 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu Score | Precision | Recall | Gen Len | Err |
|---|---|---|---|---|---|---|---|---|
| 6.5625 | 1.0 | 838 | 6.2847 | 0 | 0.0 | 0.0 | 3.0 | 0.0 |
| 6.1177 | 2.0 | 1676 | 6.1834 | 0.0 | 0.0 | 0.0 | 6.0 | 0.0 |
| 6.0431 | 3.0 | 2514 | 6.1816 | 0.0 | 0.0 | 0.0 | 6.0 | 0.0 |
| 5.9984 | 4.0 | 3352 | 6.2099 | 0.0 | 0.0 | 0.0 | 7.0 | 0.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1