judithrosell / MatSciBERT_BIOMAT_NER3

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Total runs: 4
24-hour runs: 0
7-day runs: 0
30-day runs: 4
Model's Last Updated: August 30 2024

Introduction of MatSciBERT_BIOMAT_NER3

Model Details of MatSciBERT_BIOMAT_NER3

MatSciBERT_BIOMAT_NER3

This model is a fine-tuned version of microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3972
  • Precision: 0.5228
  • Recall: 0.7391
  • F1: 0.6124
  • Accuracy: 0.9437
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: 16
  • eval_batch_size: 16
  • 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 F1 Accuracy
No log 1.0 422 0.2590 0.4873 0.6950 0.5729 0.9387
0.2326 2.0 844 0.2598 0.5160 0.7084 0.5971 0.9428
0.0654 3.0 1266 0.3152 0.5105 0.6936 0.5881 0.9430
0.0342 4.0 1688 0.3075 0.5214 0.7208 0.6051 0.9432
0.0208 5.0 2110 0.3623 0.5109 0.7370 0.6034 0.9421
0.0126 6.0 2532 0.3504 0.5167 0.7139 0.5995 0.9428
0.0126 7.0 2954 0.3708 0.5260 0.7453 0.6167 0.9445
0.0073 8.0 3376 0.3898 0.5175 0.7294 0.6054 0.9432
0.0058 9.0 3798 0.3917 0.5185 0.7391 0.6094 0.9432
0.0039 10.0 4220 0.3972 0.5228 0.7391 0.6124 0.9437
Framework versions
  • Transformers 4.42.4
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1

Runs of judithrosell MatSciBERT_BIOMAT_NER3 on huggingface.co

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MatSciBERT_BIOMAT_NER3 huggingface.co is an AI model on huggingface.co that provides MatSciBERT_BIOMAT_NER3's model effect (), which can be used instantly with this judithrosell MatSciBERT_BIOMAT_NER3 model. huggingface.co supports a free trial of the MatSciBERT_BIOMAT_NER3 model, and also provides paid use of the MatSciBERT_BIOMAT_NER3. Support call MatSciBERT_BIOMAT_NER3 model through api, including Node.js, Python, http.

MatSciBERT_BIOMAT_NER3 huggingface.co Url

https://huggingface.co/judithrosell/MatSciBERT_BIOMAT_NER3

judithrosell MatSciBERT_BIOMAT_NER3 online free

MatSciBERT_BIOMAT_NER3 huggingface.co is an online trial and call api platform, which integrates MatSciBERT_BIOMAT_NER3's modeling effects, including api services, and provides a free online trial of MatSciBERT_BIOMAT_NER3, you can try MatSciBERT_BIOMAT_NER3 online for free by clicking the link below.

judithrosell MatSciBERT_BIOMAT_NER3 online free url in huggingface.co:

https://huggingface.co/judithrosell/MatSciBERT_BIOMAT_NER3

MatSciBERT_BIOMAT_NER3 install

MatSciBERT_BIOMAT_NER3 is an open source model from GitHub that offers a free installation service, and any user can find MatSciBERT_BIOMAT_NER3 on GitHub to install. At the same time, huggingface.co provides the effect of MatSciBERT_BIOMAT_NER3 install, users can directly use MatSciBERT_BIOMAT_NER3 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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https://huggingface.co/judithrosell/MatSciBERT_BIOMAT_NER3

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judithrosell
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