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newsense-roberta-base
pilotj/newsense-roberta-base
newsense-roberta-base is a text classification model from pilotj. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Oct 1, 2024
- Updated
- Oct 2, 2024
- SHA
- dcf1cdea
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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-v1
This model is a fine-tuned version of pilotj/roberta-base-pretrained-v1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3920
- Accuracy: 0.8867
- F1 Macro: 0.8576
- F1 W: 0.8880
- Precision: 0.8909
- Recall: 0.8867
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: 128
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 W | Precision | Recall |
|---|---|---|---|---|---|---|---|---|
| 0.3932 | 0.1896 | 500 | 0.4138 | 0.8803 | 0.8505 | 0.8816 | 0.8847 | 0.8803 |
| 0.3997 | 0.3792 | 1000 | 0.4097 | 0.8809 | 0.8499 | 0.8824 | 0.8861 | 0.8809 |
| 0.3997 | 0.5688 | 1500 | 0.4126 | 0.8818 | 0.8514 | 0.8834 | 0.8874 | 0.8818 |
| 0.3907 | 0.7584 | 2000 | 0.3988 | 0.8844 | 0.8544 | 0.8856 | 0.8887 | 0.8844 |
| 0.3881 | 0.9480 | 2500 | 0.3956 | 0.8862 | 0.8549 | 0.8871 | 0.8901 | 0.8862 |
| 0.3558 | 1.1377 | 3000 | 0.3971 | 0.8863 | 0.8570 | 0.8874 | 0.8902 | 0.8863 |
| 0.3526 | 1.3273 | 3500 | 0.3999 | 0.8852 | 0.8558 | 0.8867 | 0.8902 | 0.8852 |
| 0.3435 | 1.5169 | 4000 | 0.3991 | 0.8858 | 0.8565 | 0.8870 | 0.8903 | 0.8858 |
| 0.3428 | 1.7065 | 4500 | 0.3929 | 0.8859 | 0.8572 | 0.8871 | 0.8901 | 0.8859 |
| 0.3392 | 1.8961 | 5000 | 0.3920 | 0.8867 | 0.8576 | 0.8880 | 0.8909 | 0.8867 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.2.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Oct 1, 2024
- Updated
- Oct 2, 2024