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
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Model tree for serhattekin/agnews-inferentia
Base model
prajjwal1/bert-tiny