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sd-ner-v2

EMBO / sd-ner-v2

Run on huggingface.co
huggingface.co
Total runs: 97
24-hour runs: 0
7-day runs: 9
30-day runs: 13
Model's Last Updated: January 18 2023
token-classification

Introduction of sd-ner-v2

Model Details of sd-ner-v2

sd-ner-v2

This model is a fine-tuned version of microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract on the source_data_nlp dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1551
  • Accuracy Score: 0.9513
  • Precision: 0.8030
  • Recall: 0.8378
  • F1: 0.8200
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: 0.0001
  • train_batch_size: 64
  • eval_batch_size: 256
  • seed: 42
  • optimizer: Adafactor
  • lr_scheduler_type: linear
  • num_epochs: 2.0
Training results
Training Loss Epoch Step Validation Loss Accuracy Score Precision Recall F1
0.1082 1.0 785 0.1550 0.9493 0.7826 0.8402 0.8104
0.073 2.0 1570 0.1551 0.9513 0.8030 0.8378 0.8200
Framework versions
  • Transformers 4.20.0
  • Pytorch 1.11.0a0+bfe5ad2
  • Datasets 1.17.0
  • Tokenizers 0.12.1

Runs of EMBO sd-ner-v2 on huggingface.co

97
Total runs
0
24-hour runs
5
3-day runs
9
7-day runs
13
30-day runs

More Information About sd-ner-v2 huggingface.co Model

More sd-ner-v2 license Visit here:

https://choosealicense.com/licenses/mit

sd-ner-v2 huggingface.co

sd-ner-v2 huggingface.co is an AI model on huggingface.co that provides sd-ner-v2's model effect (), which can be used instantly with this EMBO sd-ner-v2 model. huggingface.co supports a free trial of the sd-ner-v2 model, and also provides paid use of the sd-ner-v2. Support call sd-ner-v2 model through api, including Node.js, Python, http.

sd-ner-v2 huggingface.co Url

https://huggingface.co/EMBO/sd-ner-v2

EMBO sd-ner-v2 online free

sd-ner-v2 huggingface.co is an online trial and call api platform, which integrates sd-ner-v2's modeling effects, including api services, and provides a free online trial of sd-ner-v2, you can try sd-ner-v2 online for free by clicking the link below.

EMBO sd-ner-v2 online free url in huggingface.co:

https://huggingface.co/EMBO/sd-ner-v2

sd-ner-v2 install

sd-ner-v2 is an open source model from GitHub that offers a free installation service, and any user can find sd-ner-v2 on GitHub to install. At the same time, huggingface.co provides the effect of sd-ner-v2 install, users can directly use sd-ner-v2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

sd-ner-v2 install url in huggingface.co:

https://huggingface.co/EMBO/sd-ner-v2

Url of sd-ner-v2

sd-ner-v2 huggingface.co Url

Provider of sd-ner-v2 huggingface.co

EMBO
ORGANIZATIONS
huggingface.co

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