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T5-translation
Mprimus/T5-translation
T5-translation is a machine learning model from Mprimus. 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
- t5
- Access
- Public
- Created
- Nov 25, 2023
- Updated
- Nov 28, 2023
- SHA
- 10a48670
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. -->
T5-translation
This model is a fine-tuned version of Mprimus/T5-translation on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2075
- Rouge1: 27.4428
- Rouge2: 16.9977
- Rougel: 27.161
- Rougelsum: 27.1588
- Bleu: 0.2188
- Gen Len: 14.5482
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: 80
- eval_batch_size: 80
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu | Gen Len |
|---|---|---|---|---|---|---|---|---|---|
| 0.2536 | 1.0 | 9727 | 0.2075 | 27.4428 | 16.9977 | 27.161 | 27.1588 | 0.2188 | 14.5482 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- Created
- Nov 25, 2023
- Updated
- Nov 28, 2023