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---
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
|