Downloads · 30 days
12
28% of all-time downloads
md_mt5_1911_v18_retrain
Buseak/md_mt5_1911_v18_retrain
md_mt5_1911_v18_retrain is a machine learning model from Buseak. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
43
Public
Parameters
300M
18 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.2 GB · 98%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Nov 20, 2023
- Updated
- Nov 20, 2023
- SHA
- 7864cc6b
Base models
Model card
From the Hugging Face model README
<!-- 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_1911_v18_retrain
This model is a fine-tuned version of Buseak/md_mt5_1911_v16_deneme on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1754
- Bleu: 0.7623
- Gen Len: 18.7866
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 |
|---|---|---|---|---|---|
| 0.6365 | 1.0 | 1250 | 0.3435 | 0.6788 | 18.7694 |
| 0.5732 | 2.0 | 2500 | 0.3064 | 0.7037 | 18.7644 |
| 0.5375 | 3.0 | 3750 | 0.2819 | 0.7114 | 18.7706 |
| 0.4912 | 4.0 | 5000 | 0.2549 | 0.7237 | 18.77 |
| 0.4648 | 5.0 | 6250 | 0.2394 | 0.7354 | 18.772 |
| 0.4321 | 6.0 | 7500 | 0.2245 | 0.7335 | 18.7762 |
| 0.4159 | 7.0 | 8750 | 0.2131 | 0.7446 | 18.778 |
| 0.4044 | 8.0 | 10000 | 0.2030 | 0.7478 | 18.7776 |
| 0.3889 | 9.0 | 11250 | 0.1963 | 0.7496 | 18.7852 |
| 0.3798 | 10.0 | 12500 | 0.1896 | 0.7524 | 18.7834 |
| 0.3733 | 11.0 | 13750 | 0.1836 | 0.757 | 18.7854 |
| 0.3623 | 12.0 | 15000 | 0.1803 | 0.7596 | 18.7852 |
| 0.3583 | 13.0 | 16250 | 0.1775 | 0.7618 | 18.7878 |
| 0.3643 | 14.0 | 17500 | 0.1758 | 0.7616 | 18.7828 |
| 0.3609 | 15.0 | 18750 | 0.1754 | 0.7623 | 18.7866 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Nov 20, 2023
- Updated
- Nov 20, 2023