Downloads · 30 days
109
9% of all-time downloads
mbart-large-cc25-ge-hi-to-en
prashanth/mbart-large-cc25-ge-hi-to-en
mbart-large-cc25-ge-hi-to-en is a machine learning model from prashanth. 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
1.2K
Public
Repo size
337 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin2.4 GB · 99%
At a glance
- Library
- transformers
- Model type
- mbart
- Access
- Public
- Created
- May 15, 2022
- Updated
- May 16, 2022
- SHA
- f086bbfc
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-large-cc25-ge-hi-to-en
This model is a fine-tuned version of facebook/mbart-large-cc25 on the hindi_english_machine_translation dataset. It achieves the following results on the evaluation set:
- Loss: 1.1000
- Bleu: 0.1823
- Gen Len: 1023.383
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: 8
- eval_batch_size: 8
- seed: 42
- 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 |
|---|---|---|---|---|---|
| 1.4078 | 1.0 | 135739 | 1.1000 | 0.1823 | 1023.383 |
Framework versions
- Transformers 4.19.1
- Pytorch 1.11.0+cu102
- Datasets 1.18.0
- Tokenizers 0.12.1
- Library
- transformers
- Type
- mbart
- Created
- May 15, 2022
- Updated
- May 16, 2022