bert
This model is a fine-tuned version of prajjwal1/bert-tiny on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3551
- F1: 0.3614
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 4.2037 | 1.0 | 313 | 4.1054 | 0.1394 |
| 3.9015 | 2.0 | 626 | 3.7706 | 0.2824 |
| 3.6407 | 3.0 | 939 | 3.5342 | 0.3179 |
| 3.4882 | 4.0 | 1252 | 3.3994 | 0.3441 |
| 3.4102 | 5.0 | 1565 | 3.3551 | 0.3614 |
Framework versions
- Transformers 4.45.0
- Pytorch 2.7.0
- Datasets 3.6.0
- Tokenizers 0.20.3
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Model tree for varun0630/bert
Base model
prajjwal1/bert-tiny