|
--- |
|
license: mit |
|
base_model: microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- precision |
|
- recall |
|
- accuracy |
|
- f1 |
|
model-index: |
|
- name: pretoxtm-sentence-classifier |
|
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. --> |
|
|
|
# pretoxtm-sentence-classifier |
|
|
|
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: 0.0802 |
|
- Precision: 0.9778 |
|
- Recall: 0.9801 |
|
- Accuracy: 0.9795 |
|
- F1: 0.9789 |
|
|
|
## 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: 7.755382954990098e-06 |
|
- 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 | Precision | Recall | Accuracy | F1 | |
|
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:------:| |
|
| No log | 1.0 | 257 | 0.1410 | 0.9593 | 0.9684 | 0.9636 | 0.9628 | |
|
| 0.1997 | 2.0 | 514 | 0.0802 | 0.9778 | 0.9801 | 0.9795 | 0.9789 | |
|
| 0.1997 | 3.0 | 771 | 0.1103 | 0.9824 | 0.9848 | 0.9841 | 0.9836 | |
|
| 0.0514 | 4.0 | 1028 | 0.1139 | 0.9798 | 0.9829 | 0.9818 | 0.9813 | |
|
| 0.0514 | 5.0 | 1285 | 0.1208 | 0.9804 | 0.9821 | 0.9818 | 0.9812 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.39.2 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
