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my-finetuned-translation-model
chetty23/my-finetuned-translation-model
my-finetuned-translation-model is a machine learning model from chetty23. 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
- Jul 1, 2026
- Updated
- Jul 10, 2026
- SHA
- b7cb0d98
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. -->
my-finetuned-translation-model
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6627
- Bleu: 4.8059
- Gen Len: 22.8668
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: 0.0003
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 3.01 | 1.0 | 10954 | 2.7994 | 4.2711 | 22.706 |
| 2.9102 | 2.0 | 21908 | 2.7311 | 4.6527 | 23.5669 |
| 2.8405 | 3.0 | 32862 | 2.6933 | 4.7386 | 22.7339 |
| 2.8149 | 4.0 | 43816 | 2.6704 | 4.754 | 22.8787 |
| 2.7975 | 5.0 | 54770 | 2.6627 | 4.8059 | 22.8668 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.3.1
- Datasets 4.8.4
- Tokenizers 0.22.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jul 1, 2026
- Updated
- Jul 10, 2026