Downloads · 30 days
6
15% of all-time downloads
koen_mbartLarge_100p_run1
yesj1234/koen_mbartLarge_100p_run1
koen_mbartLarge_100p_run1 is a machine learning model from yesj1234. 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.
should probably proofread and complete it, then remove this comment. --
All-time downloads
40
Public
Parameters
611M
22 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt14.7 GB · 60%
At a glance
- Library
- transformers
- Model type
- mbart
- Access
- Public
- Created
- Nov 24, 2023
- Updated
- Nov 24, 2023
- SHA
- a2c040fc
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. -->
koen_mbartLarge_100p_run1
This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1023
- Bleu: 35.4816
- Gen Len: 18.3763
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.1368 | 1.0 | 53104 | 1.1172 | 34.5315 | 18.6993 |
| 0.9436 | 2.0 | 106209 | 1.1023 | 35.4816 | 18.3763 |
| 0.7948 | 3.0 | 159313 | 1.1394 | 35.3376 | 18.2557 |
| 0.675 | 4.0 | 212418 | 1.1997 | 35.1692 | 18.2835 |
| 0.5667 | 5.0 | 265522 | 1.2773 | 34.8464 | 18.1982 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- mbart
- Languages
- ko, en
- Created
- Nov 24, 2023
- Updated
- Nov 24, 2023