Downloads · 30 days
15
5% of all-time downloads
mbart_VietnameseToEnglish_60k
NghiemAbe/mbart_VietnameseToEnglish_60k
mbart_VietnameseToEnglish_60k is a machine learning model from NghiemAbe. 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
319
Public
Parameters
611M
2.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2.4 GB · 100%
At a glance
- Library
- transformers
- Model type
- mbart
- Access
- Public
- Created
- Nov 9, 2023
- Updated
- Nov 10, 2023
- SHA
- 520c87ce
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. -->
mbart_VietnameseToEnglish_60k
This model is a fine-tuned version of NghiemAbe/mbart_VietnameseToEnglish on the None dataset. It achieves the following results on the evaluation set (size 1000):
- 'eval_loss': 1.2711644172668457,
- 'eval_bleu': 32.5607,
- 'eval_gen_len': 21.2096,
- 'eval_runtime': 952.3829,
- 'eval_samples_per_second': 5.25,
- 'eval_steps_per_second': 0.329
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.1212 | 1.0 | 3750 | 1.4557 | 27.1385 | 33.638 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Library
- transformers
- Type
- mbart
- Languages
- vi, en
- Created
- Nov 9, 2023
- Updated
- Nov 10, 2023