transformers pytorch bert fill-mask generated_from_trainer base_model:microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract license:mit autotrain_compatible endpoints_compatible region:us
---
license: mit
base_model: microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract
tags:
- generated_from_trainer
model-index:
- name: pubmed-bert-mlm
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# pubmed-bert-mlm

This model is a fine-tuned version of [microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4031

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 125  | 1.5155          |
| No log        | 2.0   | 250  | 1.4109          |
| No log        | 3.0   | 375  | 1.3608          |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
