|
|
--- |
|
|
license: apache-2.0 |
|
|
base_model: Buseak/md_mt5_0109 |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- bleu |
|
|
model-index: |
|
|
- name: md_mt5_0109_v2 |
|
|
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_v2 |
|
|
|
|
|
This model is a fine-tuned version of [Buseak/md_mt5_0109](https://huggingface.co/Buseak/md_mt5_0109) on the None dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.2368 |
|
|
- Bleu: 0.5272 |
|
|
- Gen Len: 18.9267 |
|
|
|
|
|
## 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 | |
|
|
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:| |
|
|
| 0.8133 | 1.0 | 975 | 0.4559 | 0.4502 | 18.9192 | |
|
|
| 0.7386 | 2.0 | 1950 | 0.4087 | 0.4689 | 18.9203 | |
|
|
| 0.6826 | 3.0 | 2925 | 0.3751 | 0.4854 | 18.9244 | |
|
|
| 0.6321 | 4.0 | 3900 | 0.3450 | 0.4959 | 18.9221 | |
|
|
| 0.6062 | 5.0 | 4875 | 0.3235 | 0.4977 | 18.9187 | |
|
|
| 0.5634 | 6.0 | 5850 | 0.3027 | 0.5123 | 18.9172 | |
|
|
| 0.5361 | 7.0 | 6825 | 0.2874 | 0.5146 | 18.9259 | |
|
|
| 0.5152 | 8.0 | 7800 | 0.2719 | 0.5211 | 18.9295 | |
|
|
| 0.503 | 9.0 | 8775 | 0.2661 | 0.5222 | 18.9292 | |
|
|
| 0.4868 | 10.0 | 9750 | 0.2550 | 0.5258 | 18.9277 | |
|
|
| 0.4691 | 11.0 | 10725 | 0.2485 | 0.5263 | 18.9251 | |
|
|
| 0.4672 | 12.0 | 11700 | 0.2432 | 0.526 | 18.9238 | |
|
|
| 0.4607 | 13.0 | 12675 | 0.2394 | 0.5268 | 18.9259 | |
|
|
| 0.4536 | 14.0 | 13650 | 0.2369 | 0.5272 | 18.9267 | |
|
|
| 0.4499 | 15.0 | 14625 | 0.2368 | 0.5272 | 18.9267 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.35.2 |
|
|
- Pytorch 2.1.0+cu121 |
|
|
- Datasets 2.16.1 |
|
|
- Tokenizers 0.15.0 |
|
|
|
