my_distilbert

yamini0506/my_distilbert

my_distilbert is a token classification model from yamini0506. 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: Jun 23, 2024
Updated: Jun 23, 2024
SHA: 19a2c2bc

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Base models

distilbert/distilbert-base-cased

Model card

From the Hugging Face model README

my_distilbert

This model is a fine-tuned version of distilbert/distilbert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1515
Precision: 0.8038
Recall: 0.8108
F1: 0.8073
Accuracy: 0.9574

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: 30
eval_batch_size: 30
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	400	0.1692	0.7741	0.7904	0.7822	0.9516
0.2767	2.0	800	0.1524	0.7875	0.8010	0.7942	0.9547
0.1341	3.0	1200	0.1505	0.8068	0.8050	0.8059	0.9567
0.1072	4.0	1600	0.1498	0.7968	0.8121	0.8044	0.9568
0.0884	5.0	2000	0.1515	0.8038	0.8108	0.8073	0.9574

Framework versions

Transformers 4.31.0
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jun 23, 2024
Updated: Jun 23, 2024