distilbert-hatexplain-label-all-tokens-False

troesy/distilbert-hatexplain-label-all-tokens-False

distilbert-hatexplain-label-all-tokens-False is a token classification model from troesy. 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: Oct 11, 2022
Updated: Oct 11, 2022
SHA: 3acdc5dd

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Model card

From the Hugging Face model README

distilbert-hatexplain-label-all-tokens-False

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: 0.1722

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
No log	1.0	174	0.1750
No log	2.0	348	0.1704
0.1846	3.0	522	0.1722

Framework versions

Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.5.2
Tokenizers 0.13.1

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Oct 11, 2022
Updated: Oct 11, 2022