distilbert-base-uncased-finetuned-rte

Vineetttt/distilbert-base-uncased-finetuned-rte

distilbert-base-uncased-finetuned-rte is a text classification model from Vineetttt. 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: Aug 18, 2023
Updated: Aug 18, 2023
SHA: ba57c8f9

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Base models

Datasets

glue

Model card

From the Hugging Face model README

distilbert-base-uncased-finetuned-rte

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

Loss: 0.9325
Accuracy: 0.5993

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
No log	1.0	156	0.6805	0.5957
No log	2.0	312	0.6794	0.5596
No log	3.0	468	0.7373	0.5812
0.5978	4.0	624	0.8785	0.5884
0.5978	5.0	780	0.9325	0.5993

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Aug 18, 2023
Updated: Aug 18, 2023