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roberta_finetune_CPS_class_weights
aminsamadi/roberta_finetune_CPS_class_weights
roberta_finetune_CPS_class_weights is a machine learning model from aminsamadi. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Aug 30, 2024
- Updated
- Aug 30, 2024
- SHA
- 29375057
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_finetune_CPS_class_weights
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8949
- Accuracy: 0.7267
- F1-micro: 0.7267
- F1-macro: 0.6325
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-micro | F1-macro |
|---|---|---|---|---|---|---|
| 0.7524 | 1.0 | 736 | 1.0201 | 0.6812 | 0.6812 | 0.5511 |
| 0.732 | 2.0 | 1472 | 0.9168 | 0.7233 | 0.7233 | 0.6004 |
| 0.5315 | 3.0 | 2208 | 0.9742 | 0.7260 | 0.7260 | 0.5957 |
| 0.5015 | 4.0 | 2944 | 1.1334 | 0.7410 | 0.7410 | 0.6853 |
| 0.2782 | 5.0 | 3680 | 1.2754 | 0.7158 | 0.7158 | 0.6016 |
| 0.3866 | 6.0 | 4416 | 1.4692 | 0.7294 | 0.7294 | 0.6228 |
| 0.4302 | 7.0 | 5152 | 1.6980 | 0.7267 | 0.7267 | 0.6390 |
| 0.1895 | 8.0 | 5888 | 1.7853 | 0.7322 | 0.7322 | 0.6377 |
| 0.1945 | 9.0 | 6624 | 1.8803 | 0.7254 | 0.7254 | 0.6183 |
| 0.0963 | 10.0 | 7360 | 1.8949 | 0.7267 | 0.7267 | 0.6325 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- roberta
- License
- mit
- Created
- Aug 30, 2024
- Updated
- Aug 30, 2024