metadata
library_name: transformers
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-qa-squad
results: []
distilbert-base-uncased-qa-squad
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0683
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: 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
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 250 | 2.0616 |
| 2.5805 | 2.0 | 500 | 1.5499 |
| 2.5805 | 3.0 | 750 | 1.4667 |
| 0.9723 | 4.0 | 1000 | 1.5280 |
| 0.9723 | 5.0 | 1250 | 1.6318 |
| 0.5373 | 6.0 | 1500 | 1.7628 |
| 0.5373 | 7.0 | 1750 | 1.8477 |
| 0.3376 | 8.0 | 2000 | 1.9533 |
| 0.3376 | 9.0 | 2250 | 2.0440 |
| 0.2465 | 10.0 | 2500 | 2.0683 |
Framework versions
- Transformers 4.55.2
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.4