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twitter-sentiment-extraction-distilbert
suryaR-15/twitter-sentiment-extraction-distilbert
twitter-sentiment-extraction-distilbert is a text classification model from suryaR-15. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Feb 21, 2024
- Updated
- Mar 20, 2024
- SHA
- 996c2243
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Base models
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. -->
twitter-sentiment-extraction-distilbert
This model is a fine-tuned version of distilbert-base-uncased on the Tweet Sentiment Extraction dataset. It achieves the following results on the evaluation set:
- Loss: 0.3328
- Accuracy: 0.8903
- F1: 0.8903
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: 2
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Feb 21, 2024
- Updated
- Mar 20, 2024