distilbert-base-uncased-finetuned-moral-ctx-action-conseq

agi-css/distilbert-base-uncased-finetuned-moral-ctx-action-conseq

distilbert-base-uncased-finetuned-moral-ctx-action-conseq is a text classification model from agi-css. Use it when you need a label for a piece of text. 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: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Apr 5, 2022
Updated: Apr 5, 2022
SHA: 4cf7a0bd

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Model card

From the Hugging Face model README

distilbert-base-uncased-finetuned-moral-ctx-action-conseq

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

Loss: 0.1111
Accuracy: 0.9676
F1: 0.9676

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: 9.989502318502869e-05
train_batch_size: 2000
eval_batch_size: 2000
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	Accuracy	F1
No log	1.0	10	0.1569	0.9472	0.9472
No log	2.0	20	0.1171	0.9636	0.9636
No log	3.0	30	0.1164	0.9664	0.9664
No log	4.0	40	0.1117	0.9672	0.9672
No log	5.0	50	0.1111	0.9676	0.9676

Framework versions

Transformers 4.17.0.dev0
Pytorch 1.10.1
Datasets 2.0.0
Tokenizers 0.11.0

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Apr 5, 2022
Updated: Apr 5, 2022