metadata
license: apache-2.0
base_model: bert-base-cased
tags:
- question-answering
- nlp
- generated_from_trainer
model-index:
- name: bert-qa-mash-covid
results: []
bert-qa-mash-covid
This model is a fine-tuned version of bert-base-cased on the mashqa_covid_dataset dataset. It achieves the following results on the evaluation set:
- Loss: 0.8329
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 329 | 0.8850 |
| 1.144 | 2.0 | 658 | 0.8207 |
| 1.144 | 3.0 | 987 | 0.8329 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2