distilbert-base-uncased-analysis

felakoum/distilbert-base-uncased-analysis

distilbert-base-uncased-analysis is a text classification model from felakoum. 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 22, 2023
Updated: May 1, 2023
SHA: 28e23f71

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Model card

From the Hugging Face model README

distilbert-base-uncased-analysis

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: 0.5389
Accuracy: 0.8914
F1: 0.8916

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	122	0.4851	0.8852	0.8839
No log	2.0	244	0.4917	0.8975	0.8970
No log	3.0	366	0.5336	0.8934	0.8935
No log	4.0	488	0.5214	0.8893	0.8889
No log	5.0	610	0.5389	0.8914	0.8916

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Apr 22, 2023
Updated: May 1, 2023