judithrosell / BERT_BIOMAT_NER_1000

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Model's Last Updated: September 03 2024

Introduction of BERT_BIOMAT_NER_1000

Model Details of BERT_BIOMAT_NER_1000

BERT_BIOMAT_NER_1000

This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3920
  • Precision: 0.9495
  • Recall: 0.9444
  • F1: 0.9470
  • Accuracy: 0.9380
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: 32
  • eval_batch_size: 32
  • 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 1.0 211 0.2669 0.9407 0.9352 0.9380 0.9275
No log 2.0 422 0.2809 0.9457 0.9432 0.9444 0.9343
0.2064 3.0 633 0.3114 0.9472 0.9454 0.9463 0.9353
0.2064 4.0 844 0.3323 0.9491 0.9422 0.9456 0.9358
0.0481 5.0 1055 0.3478 0.9493 0.9441 0.9467 0.9382
0.0481 6.0 1266 0.3731 0.9486 0.9438 0.9462 0.9374
0.0481 7.0 1477 0.3723 0.9491 0.9445 0.9468 0.9379
0.0201 8.0 1688 0.3830 0.9489 0.9443 0.9466 0.9369
0.0201 9.0 1899 0.3873 0.9503 0.9448 0.9475 0.9378
0.0106 10.0 2110 0.3920 0.9495 0.9444 0.9470 0.9380
Framework versions
  • Transformers 4.42.4
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1

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BERT_BIOMAT_NER_1000 huggingface.co is an AI model on huggingface.co that provides BERT_BIOMAT_NER_1000's model effect (), which can be used instantly with this judithrosell BERT_BIOMAT_NER_1000 model. huggingface.co supports a free trial of the BERT_BIOMAT_NER_1000 model, and also provides paid use of the BERT_BIOMAT_NER_1000. Support call BERT_BIOMAT_NER_1000 model through api, including Node.js, Python, http.

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BERT_BIOMAT_NER_1000 install

BERT_BIOMAT_NER_1000 is an open source model from GitHub that offers a free installation service, and any user can find BERT_BIOMAT_NER_1000 on GitHub to install. At the same time, huggingface.co provides the effect of BERT_BIOMAT_NER_1000 install, users can directly use BERT_BIOMAT_NER_1000 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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