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en2zh_opus_100
HAJIWEE/en2zh_opus_100
en2zh_opus_100 is a machine learning model from HAJIWEE. 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
- mt5
- Access
- Public
- Created
- Mar 18, 2023
- Updated
- Apr 10, 2023
- SHA
- f953c7eb
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. -->
en2zh_opus_100
This model is a fine-tuned version of HAJIWEE/en2zh_opus_100 on the opus100 dataset. It achieves the following results on the evaluation set:
- Loss: 2.0799
- Bleu: 12.9203
- Gen Len: 15.2965
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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.6252 | 1.0 | 166667 | 2.1221 | 12.7341 | 15.3295 |
| 2.5579 | 2.0 | 333334 | 2.0799 | 12.9203 | 15.2965 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Mar 18, 2023
- Updated
- Apr 10, 2023