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bert-sentiment-analysis-nncf
pravesh/bert-sentiment-analysis-nncf
bert-sentiment-analysis-nncf is a machine learning model from pravesh. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Nov 10, 2022
- Updated
- Nov 11, 2022
- SHA
- b7d5de3b
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. -->
distilbert_sst2_int8_xml
This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the GLUE SST2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4463
- Accuracy: 0.9037
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: 16
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.23.1
- Pytorch 1.9.1+cu111
- Datasets 2.6.1
- Tokenizers 0.13.2
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Languages
- en
- Created
- Nov 10, 2022
- Updated
- Nov 11, 2022