metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-qa-mash-covid
results: []
distilbert-qa-mash-covid
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7040
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8639 | 1.0 | 657 | 1.3263 |
| 1.445 | 2.0 | 1314 | 1.2527 |
| 1.3003 | 3.0 | 1971 | 1.2592 |
| 1.0065 | 4.0 | 2628 | 1.2446 |
| 0.9207 | 5.0 | 3285 | 1.3667 |
| 0.7904 | 6.0 | 3942 | 1.4176 |
| 0.6458 | 7.0 | 4599 | 1.4979 |
| 0.564 | 8.0 | 5256 | 1.6020 |
| 0.5149 | 9.0 | 5913 | 1.6656 |
| 0.4474 | 10.0 | 6570 | 1.7040 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2