metadata

license: apache-2.0
base_model: distilbert-base-uncased
tags:
  - generated_from_trainer
datasets:
  - shipping_label_ner
model-index:
  - name: my_awesome_wnut_model
    results: []

my_awesome_wnut_model

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

eval_loss: 0.0550
eval_precision: 0.9286
eval_recall: 0.9630
eval_f1: 0.9455
eval_accuracy: 0.9904
eval_runtime: 0.046
eval_samples_per_second: 108.697
eval_steps_per_second: 21.739
epoch: 55.0
step: 110

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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 100

Framework versions

Transformers 4.40.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2