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opt-350m-qqp
Cheng98/opt-350m-qqp
opt-350m-qqp is a text classification model from Cheng98. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- other
- Model type
- opt
- Access
- Public
- Created
- Apr 6, 2024
- Updated
- Apr 8, 2024
- SHA
- 4373e680
Try a prompt
Base models
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. -->
opt-350m-qqp
This model is a fine-tuned version of facebook/opt-350m on the GLUE QQP dataset. It achieves the following results on the evaluation set:
- Loss: 0.6710
- Accuracy: 0.9029
- F1: 0.8700
- Combined Score: 0.8864
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.18.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- opt
- License
- other
- Languages
- en
- Created
- Apr 6, 2024
- Updated
- Apr 8, 2024