judithrosell / MatSciBERT_BIOMAT_NER2

huggingface.co
Total runs: 6
24-hour runs: 0
7-day runs: 0
30-day runs: 5
Model's Last Updated: August 30 2024

Introduction of MatSciBERT_BIOMAT_NER2

Model Details of MatSciBERT_BIOMAT_NER2

MatSciBERT_BIOMAT_NER2

This model is a fine-tuned version of m3rg-iitd/matscibert on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5316
  • Precision: 0.9596
  • Recall: 0.9442
  • F1: 0.9518
  • Accuracy: 0.9428
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
0.1601 1.0 793 0.2740 0.9603 0.9459 0.9530 0.9444
0.0276 2.0 1586 0.3631 0.9599 0.9447 0.9522 0.9431
0.0139 3.0 2379 0.3745 0.9602 0.9445 0.9523 0.9430
0.0054 4.0 3172 0.4634 0.9601 0.9441 0.9521 0.9429
0.0039 5.0 3965 0.4709 0.9594 0.9440 0.9517 0.9423
0.0018 6.0 4758 0.5042 0.9587 0.9440 0.9513 0.9426
0.0011 7.0 5551 0.5223 0.9598 0.9439 0.9518 0.9425
0.0009 8.0 6344 0.5241 0.9594 0.9438 0.9515 0.9424
0.0004 9.0 7137 0.5277 0.9595 0.9441 0.9517 0.9428
0.0004 10.0 7930 0.5316 0.9596 0.9442 0.9518 0.9428
Framework versions
  • Transformers 4.42.4
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1

Runs of judithrosell MatSciBERT_BIOMAT_NER2 on huggingface.co

6
Total runs
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24-hour runs
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3-day runs
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7-day runs
5
30-day runs

More Information About MatSciBERT_BIOMAT_NER2 huggingface.co Model

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MatSciBERT_BIOMAT_NER2 huggingface.co

MatSciBERT_BIOMAT_NER2 huggingface.co is an AI model on huggingface.co that provides MatSciBERT_BIOMAT_NER2's model effect (), which can be used instantly with this judithrosell MatSciBERT_BIOMAT_NER2 model. huggingface.co supports a free trial of the MatSciBERT_BIOMAT_NER2 model, and also provides paid use of the MatSciBERT_BIOMAT_NER2. Support call MatSciBERT_BIOMAT_NER2 model through api, including Node.js, Python, http.

MatSciBERT_BIOMAT_NER2 huggingface.co Url

https://huggingface.co/judithrosell/MatSciBERT_BIOMAT_NER2

judithrosell MatSciBERT_BIOMAT_NER2 online free

MatSciBERT_BIOMAT_NER2 huggingface.co is an online trial and call api platform, which integrates MatSciBERT_BIOMAT_NER2's modeling effects, including api services, and provides a free online trial of MatSciBERT_BIOMAT_NER2, you can try MatSciBERT_BIOMAT_NER2 online for free by clicking the link below.

judithrosell MatSciBERT_BIOMAT_NER2 online free url in huggingface.co:

https://huggingface.co/judithrosell/MatSciBERT_BIOMAT_NER2

MatSciBERT_BIOMAT_NER2 install

MatSciBERT_BIOMAT_NER2 is an open source model from GitHub that offers a free installation service, and any user can find MatSciBERT_BIOMAT_NER2 on GitHub to install. At the same time, huggingface.co provides the effect of MatSciBERT_BIOMAT_NER2 install, users can directly use MatSciBERT_BIOMAT_NER2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

MatSciBERT_BIOMAT_NER2 install url in huggingface.co:

https://huggingface.co/judithrosell/MatSciBERT_BIOMAT_NER2

Url of MatSciBERT_BIOMAT_NER2

MatSciBERT_BIOMAT_NER2 huggingface.co Url

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judithrosell
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