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my_awesome_opus_books_model
nkthakur/my_awesome_opus_books_model
my_awesome_opus_books_model is a machine learning model from nkthakur. 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. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Dec 27, 2023
- Updated
- Dec 28, 2023
- SHA
- 3bc035f7
Base models
Datasets
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. -->
my_awesome_opus_books_model
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6087
- Bleu: 5.6503
- Gen Len: 17.561
Sample Request
Try this sentence - translate English to French: what is love?
You should get response like - Qu'est-ce que l'amour?
Ensure that you are prepending
translate English to French:for all translations
Intended uses & limitations
This model has been trained only on en-fr subset of OPUS dataset.
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.8471 | 1.0 | 6355 | 1.6325 | 5.4857 | 17.565 |
| 1.8346 | 2.0 | 12710 | 1.6087 | 5.6503 | 17.561 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Languages
- en
- Created
- Dec 27, 2023
- Updated
- Dec 28, 2023