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couplet_t5
datalearningpr/couplet_t5
couplet_t5 is a machine learning model from datalearningpr. 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
- Mar 26, 2023
- Updated
- Mar 26, 2023
- SHA
- 4b425233
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. -->
couplet_t5
This model is a fine-tuned version of Langboat/mengzi-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.7151
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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.1707 | 1.0 | 1500 | 3.8428 |
| 3.8409 | 2.0 | 3000 | 3.7405 |
| 3.6807 | 3.0 | 4500 | 3.7151 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Mar 26, 2023
- Updated
- Mar 26, 2023