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Helsinki_en-mul_test
Shularp/Helsinki_en-mul_test
Helsinki_en-mul_test is a machine learning model from Shularp. 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. --
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At a glance
- Library
- transformers
- Model type
- marian
- Access
- Public
- Created
- Jul 4, 2023
- Updated
- Jul 6, 2023
- SHA
- 4a818b45
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. -->
Helsinki_en-mul_test
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4573
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4474 | 1.0 | 22199 | 1.6242 |
| 1.8308 | 2.0 | 44398 | 1.4888 |
| 1.3957 | 3.0 | 66597 | 1.4573 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Library
- transformers
- Type
- marian
- Created
- Jul 4, 2023
- Updated
- Jul 6, 2023