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metadata
license: apache-2.0
base_model: bert-base-uncased
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: relation_extraction_bert_base_uncased
    results: []

relation_extraction_bert_base_uncased

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9300
  • F1: 0.8616

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: 5e-05
  • train_batch_size: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10.0

Training results

Training Loss Epoch Step Validation Loss F1
1.2511 1.0 107 0.6098 0.7907
0.437 2.0 214 0.5167 0.8453
0.1921 3.0 321 0.5446 0.8553
0.0795 4.0 428 0.7041 0.8527
0.0334 5.0 535 0.7774 0.8568
0.0124 6.0 642 0.8086 0.8490
0.0056 7.0 749 0.8615 0.8601
0.003 8.0 856 0.9246 0.8614
0.0014 9.0 963 0.9300 0.8616
0.0011 10.0 1070 0.9421 0.8613

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.0
  • Tokenizers 0.15.0