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resultsc
bhumikak/resultsc
resultsc is a machine learning model from bhumikak. 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.
should probably proofread and complete it, then remove this comment. --
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.bin2.3 GB · 100%
At a glance
- Library
- transformers
- Model type
- pegasus
- Access
- Public
- Created
- Sep 27, 2022
- Updated
- Sep 27, 2022
- SHA
- f0b662c0
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. -->
resultsc
This model is a fine-tuned version of bhumikak/resultsb on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0809
- Rouge2 Precision: 0.0198
- Rouge2 Recall: 0.1471
- Rouge2 Fmeasure: 0.035
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: 0.0005
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adafactor
- lr_scheduler_type: linear
- num_epochs: 50
- label_smoothing_factor: 0.1
Training results
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
- Library
- transformers
- Type
- pegasus
- Created
- Sep 27, 2022
- Updated
- Sep 27, 2022