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opt-350m-finetuned-sst2
tianyisun/opt-350m-finetuned-sst2
opt-350m-finetuned-sst2 is a text classification model from tianyisun. 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
- Oct 9, 2022
- Updated
- Nov 10, 2023
- SHA
- 9f2b3f70
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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-finetuned-sst2
This model is a fine-tuned version of facebook/opt-350m on the glue dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.0427
- eval_accuracy: 0.5034
- eval_runtime: 108.5878
- eval_samples_per_second: 8.03
- eval_steps_per_second: 0.507
- step: 0
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Framework versions
- Transformers 4.22.0.dev0
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.11.0
- Task
- Text Classification
- Library
- transformers
- Type
- opt
- License
- other
- Created
- Oct 9, 2022
- Updated
- Nov 10, 2023