distilbert-base-uncased-new2-mnli

charlemagne/distilbert-base-uncased-new2-mnli

distilbert-base-uncased-new2-mnli 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: 6972f1fe

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Model card

From the Hugging Face model README

distilbert-base-uncased-new2-mnli

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: 0.2204
Accuracy: 0.9427

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	Accuracy
No log	1.0	164	0.4336	0.8678
No log	2.0	328	0.2592	0.9320
No log	3.0	492	0.2546	0.9351
0.4501	4.0	656	0.2204	0.9427
0.4501	5.0	820	0.2181	0.9404

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