|
--- |
|
license: apache-2.0 |
|
base_model: Buseak/md_mt5_0109_v7 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- bleu |
|
model-index: |
|
- name: md_mt5_0109_v8 |
|
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_v8 |
|
|
|
This model is a fine-tuned version of [Buseak/md_mt5_0109_v7](https://huggingface.co/Buseak/md_mt5_0109_v7) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0444 |
|
- Bleu: 0.6614 |
|
- Gen Len: 18.9444 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:| |
|
| 0.1129 | 1.0 | 975 | 0.0597 | 0.6517 | 18.9418 | |
|
| 0.1094 | 2.0 | 1950 | 0.0567 | 0.654 | 18.9372 | |
|
| 0.1101 | 3.0 | 2925 | 0.0543 | 0.657 | 18.9415 | |
|
| 0.1097 | 4.0 | 3900 | 0.0520 | 0.6555 | 18.9446 | |
|
| 0.1091 | 5.0 | 4875 | 0.0511 | 0.6571 | 18.9446 | |
|
| 0.1102 | 6.0 | 5850 | 0.0497 | 0.6591 | 18.9451 | |
|
| 0.1056 | 7.0 | 6825 | 0.0489 | 0.6585 | 18.9444 | |
|
| 0.1088 | 8.0 | 7800 | 0.0470 | 0.6595 | 18.9436 | |
|
| 0.1103 | 9.0 | 8775 | 0.0467 | 0.6589 | 18.9415 | |
|
| 0.1078 | 10.0 | 9750 | 0.0462 | 0.66 | 18.9423 | |
|
| 0.1106 | 11.0 | 10725 | 0.0451 | 0.6605 | 18.9431 | |
|
| 0.1112 | 12.0 | 11700 | 0.0448 | 0.6607 | 18.9444 | |
|
| 0.1134 | 13.0 | 12675 | 0.0447 | 0.6607 | 18.9395 | |
|
| 0.1183 | 14.0 | 13650 | 0.0446 | 0.6602 | 18.9408 | |
|
| 0.1188 | 15.0 | 14625 | 0.0444 | 0.6614 | 18.9444 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.2 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
