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Waynehills-NLP-doogie-AIHub-paper-summary
mimi/Waynehills-NLP-doogie-AIHub-paper-summary
Waynehills-NLP-doogie-AIHub-paper-summary is a machine learning model from mimi. 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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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jan 6, 2022
- SHA
- 1039e161
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. -->
Waynehills-NLP-doogie-AIHub-paper-summary
This model is a fine-tuned version of mimi/Waynehills-NLP-doogie on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.6206
- eval_runtime: 309.223
- eval_samples_per_second: 38.167
- eval_steps_per_second: 4.773
- epoch: 3.75
- step: 60000
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: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Framework versions
- Transformers 4.12.2
- Pytorch 1.10.0+cu111
- Datasets 1.5.0
- Tokenizers 0.10.3
- Library
- transformers
- Type
- t5
- Created
- Mar 2, 2022
- Updated
- Jan 6, 2022