jujbob's picture
update model card README.md
f45f317
|
raw
history blame
1.67 kB
metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: bert-finetuned-ner-ime
    results: []

bert-finetuned-ner-ime

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

  • Loss: 2.4592
  • Precision: 0.6456
  • Recall: 0.3813
  • F1: 0.4794
  • Accuracy: 0.6108

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: 8
  • eval_batch_size: 8
  • seed: 42
  • 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
No log 1.0 221 2.6044 0.6263 0.3774 0.4710 0.6081
No log 2.0 442 2.5040 0.6286 0.3848 0.4774 0.6100
2.7612 3.0 663 2.4592 0.6456 0.3813 0.4794 0.6108

Framework versions

  • Transformers 4.28.0
  • Pytorch 2.0.1
  • Datasets 2.12.0
  • Tokenizers 0.11.0