README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: bert-for-patents-finetuned-ner
    results: []

bert-for-patents-finetuned-ner

This model is a fine-tuned version of anferico/bert-for-patents on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.3652
• Precision: 0.2818
• Recall: 0.0255
• F1: 0.0468
• Accuracy: 0.6878

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: cosine
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	23	1.3652	0.2818	0.0255	0.0468	0.6878

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3