distilbert-base-uncased-finetuned-ft650_reg1

dminiotas05/distilbert-base-uncased-finetuned-ft650_reg1

distilbert-base-uncased-finetuned-ft650_reg1 is a text classification model from dminiotas05. 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: Jul 25, 2022
Updated: Jul 26, 2022
SHA: 66ffbfd6

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Model card

From the Hugging Face model README

distilbert-base-uncased-finetuned-ft650_reg1

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: 2.0751

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.2605	1.0	188	1.7953
1.1328	2.0	376	2.0771
1.1185	3.0	564	2.0751

Framework versions

Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jul 25, 2022
Updated: Jul 26, 2022