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translation-en-to-tr-1
verach3n/translation-en-to-tr-1
translation-en-to-tr-1 is a machine learning model from verach3n. 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
- marian
- Access
- Public
- Created
- Feb 22, 2024
- Updated
- Feb 25, 2024
- SHA
- 1bd7932a
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. -->
opus-tatoeba-en-tr-finetuned-en-to-tr
This model is a fine-tuned version of Helsinki-NLP/opus-tatoeba-en-tr on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0240
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: 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: 1
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4348 | 1.0 | 12860 | 3.0240 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Library
- transformers
- Type
- marian
- License
- apache-2.0
- Created
- Feb 22, 2024
- Updated
- Feb 25, 2024