movieHunt3-ner

AbidHasan95/movieHunt3-ner

movieHunt3-ner is a token classification model from AbidHasan95. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Token Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Jul 28, 2022
Updated: Feb 13, 2025
SHA: 5713f60f

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Model card

From the Hugging Face model README

movieHunt3-ner

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

Loss: 0.0009

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: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	95	0.0462
No log	2.0	190	0.0067
No log	3.0	285	0.0028
No log	4.0	380	0.0018
No log	5.0	475	0.0014
0.1098	6.0	570	0.0012
0.1098	7.0	665	0.0011
0.1098	8.0	760	0.0010
0.1098	9.0	855	0.0010
0.1098	10.0	950	0.0009

Framework versions

Transformers 4.21.0
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jul 28, 2022
Updated: Feb 13, 2025