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led-base-book-summary-samsum
rooftopcoder/led-base-book-summary-samsum
led-base-book-summary-samsum is a machine learning model from rooftopcoder. 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 bsd-3-clause.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- bsd-3-clause
- Model type
- led
- Access
- Public
- Created
- Mar 16, 2023
- Updated
- Mar 16, 2023
- SHA
- e5af10e9
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. -->
led-base-book-summary-samsum
This model is a fine-tuned version of pszemraj/led-base-book-summary on the None dataset.
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- led
- License
- bsd-3-clause
- Created
- Mar 16, 2023
- Updated
- Mar 16, 2023