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opt-350m
underactuated/opt-350m
opt-350m is a feature extraction model from underactuated. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
All-time downloads
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Repo size
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- License
- other
- Model type
- opt
- Access
- Public
- Created
- Dec 25, 2022
- Updated
- Dec 25, 2022
- SHA
- 92ebcbd4
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. -->
opt-350m
This model is a fine-tuned version of facebook/opt-350m on an unknown 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: 8
- 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
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Tokenizers 0.13.2
- Task
- Feature Extraction
- Library
- transformers
- Type
- opt
- License
- other
- Created
- Dec 25, 2022
- Updated
- Dec 25, 2022