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t5-opus_infopankki-en-zh
0x12/t5-opus_infopankki-en-zh
t5-opus_infopankki-en-zh is a machine learning model from 0x12. 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
- Apr 26, 2022
- Updated
- Jul 14, 2023
- SHA
- c814c372
Datasets
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-opus_infopankki-en-zh
This model is a fine-tuned version of t5-small on the opus_infopankki dataset. It achieves the following results on the evaluation set:
- Loss: 2.3548
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.065 | 1.0 | 1496 | 2.7383 |
| 2.8459 | 2.0 | 2992 | 2.6077 |
| 2.7296 | 3.0 | 4488 | 2.5336 |
| 2.6639 | 4.0 | 5984 | 2.4761 |
| 2.6234 | 5.0 | 7480 | 2.4342 |
| 2.5847 | 6.0 | 8976 | 2.4038 |
| 2.5536 | 7.0 | 10472 | 2.3808 |
| 2.5213 | 8.0 | 11968 | 2.3663 |
| 2.5275 | 9.0 | 13464 | 2.3574 |
| 2.5215 | 10.0 | 14960 | 2.3548 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 26, 2022
- Updated
- Jul 14, 2023