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cc-narratives_robertamodel2
nnisbett/cc-narratives_robertamodel2
cc-narratives_robertamodel2 is a text classification model from nnisbett. 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
- roberta
- Access
- Public
- Created
- Sep 14, 2023
- Updated
- Sep 14, 2023
- SHA
- d98698a2
Try a prompt
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. -->
base_model
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9156
- F1: 0.7112
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.0269 | 1.0 | 22 | 0.9767 | 0.3192 |
| 0.9372 | 2.0 | 44 | 0.9233 | 0.4689 |
| 0.7988 | 3.0 | 66 | 0.8628 | 0.5678 |
| 0.6139 | 4.0 | 88 | 0.8515 | 0.6001 |
| 0.4226 | 5.0 | 110 | 0.9094 | 0.6003 |
| 0.2551 | 6.0 | 132 | 1.0029 | 0.6192 |
| 0.1439 | 7.0 | 154 | 1.0345 | 0.6581 |
| 0.0872 | 8.0 | 176 | 1.1825 | 0.6431 |
| 0.0702 | 9.0 | 198 | 1.2059 | 0.6468 |
| 0.0497 | 10.0 | 220 | 1.2089 | 0.6403 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Sep 14, 2023
- Updated
- Sep 14, 2023