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---
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license: mit
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base_model: microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext
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tags:
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- generated_from_trainer
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model-index:
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- name: my_awesome_eli5_mlm_model
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# my_awesome_eli5_mlm_model
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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.
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It achieves the following results on the evaluation set:
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- Loss: 0.1650
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.0282 | 1.0 | 157 | 0.1593 |
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| 0.0205 | 2.0 | 314 | 0.1629 |
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| 0.0267 | 3.0 | 471 | 0.1604 |
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| 0.0207 | 4.0 | 628 | 0.1591 |
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| 0.0122 | 5.0 | 785 | 0.1619 |
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| 0.0087 | 6.0 | 942 | 0.1626 |
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| 0.0065 | 7.0 | 1099 | 0.1644 |
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| 0.0051 | 8.0 | 1256 | 0.1649 |
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| 0.0042 | 9.0 | 1413 | 0.1650 |
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| 0.0041 | 10.0 | 1570 | 0.1650 |
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### Framework versions
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- Transformers 4.39.0
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- Pytorch 2.2.1
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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