metadata
license: apache-2.0
base_model: distilbert-base-cased
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: distilbert-base-cased-squad
results: []
distilbert-base-cased-squad
This model is a fine-tuned version of distilbert-base-cased on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.4144
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: 8
- eval_batch_size: 8
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8764 | 1.0 | 1688 | 1.4144 |
| 0.5653 | 2.0 | 3376 | 1.4274 |
| 0.3689 | 3.0 | 5064 | 1.7517 |
| 0.2427 | 4.0 | 6752 | 2.0817 |
| 0.1613 | 5.0 | 8440 | 2.3114 |
| 0.1159 | 6.0 | 10128 | 2.5096 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3