|
--- |
|
license: apache-2.0 |
|
base_model: Buseak/md_mt5_0109_v5 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- bleu |
|
model-index: |
|
- name: md_mt5_0109_v6 |
|
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. --> |
|
|
|
# md_mt5_0109_v6 |
|
|
|
This model is a fine-tuned version of [Buseak/md_mt5_0109_v5](https://huggingface.co/Buseak/md_mt5_0109_v5) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0628 |
|
- Bleu: 0.6537 |
|
- Gen Len: 18.9513 |
|
|
|
## 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: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 15 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
|
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:| |
|
| 0.1911 | 1.0 | 975 | 0.0801 | 0.6356 | 18.9449 | |
|
| 0.1854 | 2.0 | 1950 | 0.0782 | 0.6365 | 18.9446 | |
|
| 0.1807 | 3.0 | 2925 | 0.0755 | 0.6419 | 18.9485 | |
|
| 0.175 | 4.0 | 3900 | 0.0732 | 0.6431 | 18.949 | |
|
| 0.1699 | 5.0 | 4875 | 0.0720 | 0.6471 | 18.949 | |
|
| 0.1669 | 6.0 | 5850 | 0.0701 | 0.6474 | 18.9497 | |
|
| 0.165 | 7.0 | 6825 | 0.0682 | 0.6494 | 18.95 | |
|
| 0.1604 | 8.0 | 7800 | 0.0673 | 0.6508 | 18.9505 | |
|
| 0.1585 | 9.0 | 8775 | 0.0665 | 0.6516 | 18.9505 | |
|
| 0.1512 | 10.0 | 9750 | 0.0652 | 0.6518 | 18.9508 | |
|
| 0.1543 | 11.0 | 10725 | 0.0646 | 0.653 | 18.9505 | |
|
| 0.155 | 12.0 | 11700 | 0.0639 | 0.6533 | 18.9505 | |
|
| 0.1506 | 13.0 | 12675 | 0.0633 | 0.6537 | 18.951 | |
|
| 0.1493 | 14.0 | 13650 | 0.0629 | 0.6538 | 18.951 | |
|
| 0.1486 | 15.0 | 14625 | 0.0628 | 0.6537 | 18.9513 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.1 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
