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news-classification-transformer
MesserMMP/news-classification-transformer
news-classification-transformer is a text classification model from MesserMMP. 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
- bert
- Access
- Public
- Created
- Dec 12, 2024
- Updated
- Dec 12, 2024
- SHA
- 61a94f97
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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. -->
news-classification-transformer
This model is a fine-tuned version of kartashoffv/news_topic_classification on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 9.4277
- Precision: 0.8168
- Recall: 0.5947
- Exact Match: 0.9989
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: 3.5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Exact Match |
|---|---|---|---|---|---|---|
| 8.4905 | 1.0 | 2139 | 10.5464 | 0.7943 | 0.5356 | 0.9988 |
| 7.7107 | 2.0 | 4278 | 9.5836 | 0.8179 | 0.5860 | 0.9989 |
| 7.2361 | 3.0 | 6417 | 9.4277 | 0.8168 | 0.5947 | 0.9989 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Dec 12, 2024
- Updated
- Dec 12, 2024