bert-tiny-finetuned-squad
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: 2.9432
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|
| 3.6759 | 1.0 | 2767 | 3.3358 |
| 3.2517 | 2.0 | 5534 | 3.0165 |
| 3.1717 | 3.0 | 8301 | 2.9432 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.3.0+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Downloads last month
- 8
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
Model tree for mightyneighbor/bert-tiny-finetuned-squad
Base model
prajjwal1/bert-tiny