td7_nlp

slounaci/td7_nlp

td7_nlp is a token classification model from slounaci. 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: Jan 12, 2025
Updated: Jan 12, 2025
SHA: 7e1fdaba

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Base models

Model card

From the Hugging Face model README

td7_nlp

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: 0.0804
Precision: 0.8102
Recall: 0.7435
F1: 0.7748
Accuracy: 0.9712

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: 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
0.1437	1.0	147	0.1251	0.8228	0.4739	0.5932	0.9518
0.0929	2.0	294	0.0908	0.7909	0.6889	0.7355	0.9677
0.0587	3.0	441	0.0804	0.8102	0.7435	0.7748	0.9712

Framework versions

Transformers 4.44.2
Pytorch 2.5.1+cpu
Datasets 2.19.0
Tokenizers 0.19.1

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jan 12, 2025
Updated: Jan 12, 2025