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bert-base-cased-ag-news
odunola/bert-base-cased-ag-news
bert-base-cased-ag-news is a text classification model from odunola. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Oct 27, 2023
- Updated
- Oct 28, 2023
- SHA
- ddbe46ea
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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. -->
bert-based_uncased-finetuned-binary_hate_speech
This model is a fine-tuned version of bert-base-cased on the ag_news dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.3032
- eval_accuracy: 0.9426
- eval_f1: 0.9426
- eval_precision: 0.9428
- eval_recall: 0.9426
- eval_runtime: 12.9777
- eval_samples_per_second: 585.618
- eval_steps_per_second: 18.339
- epoch: 2.0
- step: 7500
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Oct 27, 2023
- Updated
- Oct 28, 2023