---
language:
- en
license: mit
base_model: xlnet-base-cased
tags:
- low-resource NER
- token_classification
- biomedicine
- medical NER
- generated_from_trainer
datasets:
- medicine
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: Dagobert42/xlnet-base-cased-biored-augmented
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Dagobert42/xlnet-base-cased-biored-augmented

This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the bigbio/biored dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3178
- Accuracy: 0.8937
- Precision: 0.7458
- Recall: 0.7607
- F1: 0.752
- Weighted F1: 0.893

## 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: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Weighted F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-----------:|
| No log        | 1.0   | 25   | 0.3320          | 0.889    | 0.8379    | 0.7151 | 0.7626 | 0.8852      |
| No log        | 2.0   | 50   | 0.3163          | 0.8984   | 0.789     | 0.7973 | 0.7921 | 0.8975      |
| No log        | 3.0   | 75   | 0.3176          | 0.9032   | 0.8098    | 0.8013 | 0.8045 | 0.902       |
| No log        | 4.0   | 100  | 0.3312          | 0.9001   | 0.7749    | 0.8266 | 0.7968 | 0.9007      |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.15.0