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roberta-base-ag-news
rizqatasyaa/roberta-base-ag-news
roberta-base-ag-news is a machine learning model from rizqatasyaa. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- roberta
- Access
- Public
- Created
- Aug 2, 2024
- Updated
- Aug 6, 2024
- SHA
- 10b03a31
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. -->
roberta-base-ag-news
This model is a fine-tuned version of textattack/roberta-base-ag-news on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2492
- Accuracy: 0.9457
- F1: 0.9456
- Precision: 0.9456
- Recall: 0.9457
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: 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 | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.073 | 1.0 | 3750 | 0.2088 | 0.9417 | 0.9416 | 0.9419 | 0.9417 |
| 0.0576 | 2.0 | 7500 | 0.2492 | 0.9457 | 0.9456 | 0.9456 | 0.9457 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- roberta
- Created
- Aug 2, 2024
- Updated
- Aug 6, 2024