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agnews-inferentia
serhattekin/agnews-inferentia
agnews-inferentia is a machine learning model from serhattekin. 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
- bert
- Access
- Public
- Created
- Mar 16, 2025
- Updated
- Mar 16, 2025
- SHA
- 5a11985e
Base models
Datasets
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. -->
agnews-inferentia
This model is a fine-tuned version of prajjwal1/bert-tiny on the ag_news dataset. It achieves the following results on the evaluation set:
- Loss: 0.2432
- Accuracy: 0.9236
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2831 | 1.0 | 3750 | 0.2643 | 0.9145 |
| 0.2315 | 2.0 | 7500 | 0.2478 | 0.9209 |
| 0.2129 | 3.0 | 11250 | 0.2432 | 0.9236 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.4.1.post100
- Datasets 2.2.1
- Tokenizers 0.15.2
- Type
- bert
- License
- mit
- Created
- Mar 16, 2025
- Updated
- Mar 16, 2025