---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-emrQA-msquad
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-finetuned-emrQA-msquad

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0218

## 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: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.2818        | 1.0   | 7836  | 0.2036          |
| 0.1229        | 2.0   | 15672 | 0.0739          |
| 0.0691        | 3.0   | 23508 | 0.0544          |
| 0.0478        | 4.0   | 31344 | 0.0321          |
| 0.0299        | 5.0   | 39180 | 0.0262          |
| 0.0178        | 6.0   | 47016 | 0.0261          |
| 0.0104        | 7.0   | 54852 | 0.0241          |
| 0.0058        | 8.0   | 62688 | 0.0218          |


### Framework versions

- Transformers 4.41.2
- Pytorch 1.13.1+cu116
- Datasets 2.19.2
- Tokenizers 0.19.1