metadata

title: Marketplace Products
emoji: 🚀
colorFrom: purple
colorTo: yellow
sdk: gradio
sdk_version: 4.37.2
app_file: app.py
pinned: false
license: apache-2.0

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

This model is a fine-tuned version of distilbert/distilbert-base-uncased for NER Task.

The following hyperparameters were used during training:

learning_rate=2e-5,
per_device_train_batch_size=128,
per_device_eval_batch_size=128,
num_train_epochs=4,
weight_decay=0.01,
num_epochs: 4

It achieves the following results on the evaluation set:

Training results

Epoch	Training Loss	Validation Loss	Precision	Recall	F1	Accuracy
1	0.286800	0.125389	0.977472	0.977472	0.977472	0.977472
2	0.051800	0.026039	0.993742	0.993742	0.993742	0.993742
3	0.024200	0.013263	0.994994	0.994994	0.994994	0.994994
4	0.015500	0.013252	0.994994	0.994994	0.994994	0.994994

Framework versions Transformers 4.41.2 Pytorch 2.3.0+cu121 Datasets 2.19.2 Tokenizers 0.19.1