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: 1.3801
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: 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 |
|---|---|---|---|
| 2.8311 | 1.0 | 563 | 1.6891 |
| 1.5284 | 2.0 | 1126 | 1.3453 |
| 1.1163 | 3.0 | 1689 | 1.3392 |
| 0.8581 | 4.0 | 2252 | 1.3402 |
| 0.701 | 5.0 | 2815 | 1.3801 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3