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Goodreads_Books_Reviews_BERT_51
lilouuch/Goodreads_Books_Reviews_BERT_51
Goodreads_Books_Reviews_BERT_51 is a text classification model from lilouuch. 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
- bert
- Access
- Public
- Created
- Jan 27, 2023
- Updated
- Jan 30, 2023
- SHA
- 725fb39f
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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. -->
Goodreads_Books_Reviews_BERT_51
This model is a fine-tuned version of bert-base-uncased on the Goodreads Books Reviews dataset. It achieves the following results on the evaluation set:
- Loss: 0.9079
- F1: 0.6366
- Accuracy: 0.6355
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
|---|---|---|---|---|---|
| 0.9474 | 1.0 | 7080 | 0.9415 | 0.6165 | 0.6179 |
| 0.8295 | 2.0 | 14160 | 0.9079 | 0.6366 | 0.6355 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jan 27, 2023
- Updated
- Jan 30, 2023