distilbert-base-uncased-new2-cola

charlemagne/distilbert-base-uncased-new2-cola

distilbert-base-uncased-new2-cola is a text classification model from charlemagne. 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: Jan 9, 2023
Updated: Jan 9, 2023
SHA: d0a13f83

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Model card

From the Hugging Face model README

distilbert-base-uncased-new2-cola

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: 0.2107
Matthews Correlation: 0.9155

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: 32
eval_batch_size: 32
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	Matthews Correlation
No log	1.0	164	0.4352	0.8059
No log	2.0	328	0.2626	0.8950
No log	3.0	492	0.2422	0.9063
0.4552	4.0	656	0.2107	0.9155
0.4552	5.0	820	0.2160	0.9134

Framework versions

Transformers 4.17.0
Pytorch 1.8.0+cu111
Datasets 2.1.0
Tokenizers 0.11.6

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jan 9, 2023
Updated: Jan 9, 2023