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t2t-gun-nlth-from-stratch
tiagoblima/t2t-gun-nlth-from-stratch
t2t-gun-nlth-from-stratch is a machine learning model from tiagoblima. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- marian
- Access
- Public
- Created
- Apr 3, 2024
- Updated
- Apr 3, 2024
- SHA
- 9c527325
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. -->
t2t-gun-nlth-from-stratch
This model is a fine-tuned version of tiagoblima/gun-nlth-scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.1127
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.1577 | 0.55 | 4000 | 5.0400 |
| 4.6387 | 1.1 | 8000 | 4.6219 |
| 4.3818 | 1.65 | 12000 | 4.3636 |
| 4.1054 | 2.2 | 16000 | 4.2018 |
| 4.0162 | 2.74 | 20000 | 4.1127 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.1
- Library
- transformers
- Type
- marian
- License
- mit
- Created
- Apr 3, 2024
- Updated
- Apr 3, 2024