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distilled_bert_finetuning
HarBat/distilled_bert_finetuning
distilled_bert_finetuning is a text classification model from HarBat. 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
- Oct 12, 2022
- Updated
- Mar 18, 2023
- SHA
- 28b7fe27
Try a prompt
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. -->
distilled_bert_finetuning
This model is a fine-tuned version of distilbert-base-uncased on the sst2 dataset.
Label 0 is Negative Label 1 is Positive
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: 1e-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
Training results
Framework versions
- Transformers 4.21.2
- Pytorch 1.11.0+cu113
- Datasets 2.5.2
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 12, 2022
- Updated
- Mar 18, 2023