judithrosell / SciBERT_JNLPBA_NER

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Total runs: 7
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7-day runs: 2
30-day runs: 0
Model's Last Updated: December 25 2023
token-classification

Introduction of SciBERT_JNLPBA_NER

Model Details of SciBERT_JNLPBA_NER

SciBERT_JNLPBA_NER

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

  • Loss: 0.1456
  • Precision: 0.8042
  • Recall: 0.8228
  • F1: 0.8134
  • Accuracy: 0.9512
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
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
Training results
Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
0.234 1.0 582 0.1536 0.7820 0.7944 0.7882 0.9469
0.1398 2.0 1164 0.1489 0.7962 0.8033 0.7997 0.9495
0.1212 3.0 1746 0.1456 0.8042 0.8228 0.8134 0.9512
Framework versions
  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.0
  • Tokenizers 0.15.0

Runs of judithrosell SciBERT_JNLPBA_NER on huggingface.co

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

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SciBERT_JNLPBA_NER install

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

SciBERT_JNLPBA_NER install url in huggingface.co:

https://huggingface.co/judithrosell/SciBERT_JNLPBA_NER

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