metadata
library_name: transformers
license: cc-by-4.0
base_model: bltlab/queryner-bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: checkpoints
results: []
checkpoints
This model is a fine-tuned version of bltlab/queryner-bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2311
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2458 | 1.0 | 1138 | 0.2450 |
| 0.1747 | 2.0 | 2276 | 0.1722 |
| 0.0859 | 3.0 | 3414 | 0.2087 |
| 0.0335 | 4.0 | 4552 | 0.2588 |
| 0.041 | 5.0 | 5690 | 0.2311 |
Framework versions
- Transformers 4.57.6
- Pytorch 2.9.0
- Datasets 3.2.0
- Tokenizers 0.22.2