metadata
license: cc-by-4.0
base_model: deepset/tinyroberta-squad2
tags:
- generated_from_trainer
model-index:
- name: tinyroberta-squad2-finetuned-emrqa-msquad
results: []
datasets:
- Eladio/emrqa-msquad
language:
- en
metrics:
- exact_match
- f1
- precision
- recall
- bleu
- rouge
pipeline_tag: question-answering
tinyroberta-squad2-finetuned-emrqa-msquad
This model is a fine-tuned version of deepset/tinyroberta-squad2 on medical dataset Eladio/emrqa-msquad. It achieves the following results on the evaluation set:
- Loss: 0.0435
Model description
deepset/tinyroberta-squad2 on medical dataset Eladio/emrqa-msquad
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2736 | 1.0 | 15878 | 0.1806 |
| 0.1034 | 2.0 | 31756 | 0.0803 |
| 0.0475 | 3.0 | 47634 | 0.0435 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2