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

<!-- 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. -->

# distilbert-base-uncased-finetuned-PubmedQA

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: 4.2957

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 21   | 4.6513          |
| No log        | 2.0   | 42   | 4.1809          |
| No log        | 3.0   | 63   | 4.1888          |
| No log        | 4.0   | 84   | 4.0779          |
| No log        | 5.0   | 105  | 4.1221          |
| No log        | 6.0   | 126  | 4.1381          |
| No log        | 7.0   | 147  | 4.0619          |
| No log        | 8.0   | 168  | 4.1242          |
| No log        | 9.0   | 189  | 4.1044          |
| No log        | 10.0  | 210  | 4.1699          |
| No log        | 11.0  | 231  | 4.1761          |
| No log        | 12.0  | 252  | 4.3132          |
| No log        | 13.0  | 273  | 4.2233          |
| No log        | 14.0  | 294  | 4.3036          |
| No log        | 15.0  | 315  | 4.2894          |
| No log        | 16.0  | 336  | 4.3075          |
| No log        | 17.0  | 357  | 4.3120          |
| No log        | 18.0  | 378  | 4.2841          |
| No log        | 19.0  | 399  | 4.3161          |
| No log        | 20.0  | 420  | 4.2957          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2