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mt5-small-finetuned-MultiHead-230221-generated-datasets
Shularp/mt5-small-finetuned-MultiHead-230221-generated-datasets
mt5-small-finetuned-MultiHead-230221-generated-datasets is a machine learning model from Shularp. 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
- Feb 21, 2023
- Updated
- Feb 21, 2023
- SHA
- cc1eee56
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. -->
mt5-small-finetuned-MultiHead-230215-finetuned-MultiHead-230221
This model is a fine-tuned version of Shularp/mt5-small-finetuned-MultiHead-230215 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7555
- Bleu: 13.5053
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| No log | 1.0 | 73 | 1.8197 | 12.8669 |
| No log | 2.0 | 146 | 1.7688 | 13.2528 |
| No log | 3.0 | 219 | 1.7555 | 13.5053 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Feb 21, 2023
- Updated
- Feb 21, 2023