|
--- |
|
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 |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# tinyroberta-squad2-finetuned-emrqa-msquad |
|
|
|
This model is a fine-tuned version of [deepset/tinyroberta-squad2](https://huggingface.co/deepset/tinyroberta-squad2) on medical dataset [Eladio/emrqa-msquad](https://huggingface.co/datasets/Eladio/emrqa-msquad). |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0435 |
|
|
|
## Model description |
|
|
|
[deepset/tinyroberta-squad2](https://huggingface.co/deepset/tinyroberta-squad2) on medical dataset [Eladio/emrqa-msquad](https://huggingface.co/datasets/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 |
