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mt5-large-qasrl-es-p2-question
smilton/mt5-large-qasrl-es-p2-question
mt5-large-qasrl-es-p2-question is a machine learning model from smilton. 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
- Nov 29, 2022
- Updated
- Nov 29, 2022
- SHA
- 8afa0665
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-large-qasrl-es-p2-question
This model is a fine-tuned version of google/mt5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7515
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: 5e-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: 10.0
Training results
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.11.0
- Datasets 2.7.1
- Tokenizers 0.11.0
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Languages
- es
- Created
- Nov 29, 2022
- Updated
- Nov 29, 2022