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t5small-squad-extractive
Splend1dchan/t5small-squad-extractive
t5small-squad-extractive is a machine learning model from Splend1dchan. 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
- Access
- Public
- Created
- May 27, 2022
- Updated
- May 27, 2022
- SHA
- 2d10400e
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_squad
This model is a fine-tuned version of t5-small on the squad dataset, using the extractive method by isolating the encoder only.
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: 3e-05
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
{ "epoch": 3.0, "eval_exact_match": 70.06622516556291, "eval_f1": 80.02993815400357, "eval_samples": 10659 }
Framework versions
- Transformers 4.20.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 1.18.4
- Tokenizers 0.11.6
- Library
- transformers
- License
- apache-2.0
- Created
- May 27, 2022
- Updated
- May 27, 2022