|
--- |
|
base_model: vinai/bartpho-syllable |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: pretrain_Law_model_bartpho_version1 |
|
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. --> |
|
|
|
# pretrain_Law_model_bartpho_version1 |
|
|
|
This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/vinai/bartpho-syllable) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2879 |
|
- Rouge1: 0.4482 |
|
- Rouge2: 0.3252 |
|
- Rougel: 0.3897 |
|
- Rougelsum: 0.4055 |
|
|
|
## 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: 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: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| |
|
| No log | 1.0 | 245 | 0.3270 | 0.4333 | 0.2996 | 0.3650 | 0.3815 | |
|
| No log | 2.0 | 490 | 0.3024 | 0.4400 | 0.3072 | 0.3731 | 0.3938 | |
|
| 0.6695 | 3.0 | 735 | 0.2883 | 0.4411 | 0.3186 | 0.3829 | 0.3996 | |
|
| 0.6695 | 4.0 | 980 | 0.2820 | 0.4484 | 0.3255 | 0.3883 | 0.4046 | |
|
| 0.2387 | 5.0 | 1225 | 0.2822 | 0.4500 | 0.3221 | 0.3876 | 0.4050 | |
|
| 0.2387 | 6.0 | 1470 | 0.2806 | 0.4483 | 0.3224 | 0.3875 | 0.4049 | |
|
| 0.1843 | 7.0 | 1715 | 0.2852 | 0.4471 | 0.3235 | 0.3870 | 0.4037 | |
|
| 0.1843 | 8.0 | 1960 | 0.2844 | 0.4466 | 0.3216 | 0.3850 | 0.4020 | |
|
| 0.1515 | 9.0 | 2205 | 0.2866 | 0.4504 | 0.3265 | 0.3900 | 0.4066 | |
|
| 0.1515 | 10.0 | 2450 | 0.2879 | 0.4482 | 0.3252 | 0.3897 | 0.4055 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.32.1 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.4 |
|
- Tokenizers 0.13.3 |
|
|
