---
license: mit
base_model: microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext
tags:
- generated_from_trainer
model-index:
- name: my_awesome_eli5_mlm_model
  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. -->

# my_awesome_eli5_mlm_model

This model is a fine-tuned version of [microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext](https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1650

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0282        | 1.0   | 157  | 0.1593          |
| 0.0205        | 2.0   | 314  | 0.1629          |
| 0.0267        | 3.0   | 471  | 0.1604          |
| 0.0207        | 4.0   | 628  | 0.1591          |
| 0.0122        | 5.0   | 785  | 0.1619          |
| 0.0087        | 6.0   | 942  | 0.1626          |
| 0.0065        | 7.0   | 1099 | 0.1644          |
| 0.0051        | 8.0   | 1256 | 0.1649          |
| 0.0042        | 9.0   | 1413 | 0.1650          |
| 0.0041        | 10.0  | 1570 | 0.1650          |


### Framework versions

- Transformers 4.39.0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2