distillbert-fine-tuned-claimbuster3C

rashmikamath01/distillbert-fine-tuned-claimbuster3C

distillbert-fine-tuned-claimbuster3C is a text classification model from rashmikamath01. 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 4, 2023
Updated: Apr 4, 2023
SHA: 3a57481f

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Model card

From the Hugging Face model README

distillbert-fine-tuned-claimbuster3C

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: 0.4152
Accuracy: 0.8749
F1: 0.8748

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
lr_scheduler_warmup_steps: 500
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.3364	1.0	1177	0.3138	0.8659	0.8634
0.2366	2.0	2354	0.3200	0.8766	0.8764
0.1561	3.0	3531	0.4152	0.8749	0.8748

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Apr 4, 2023
Updated: Apr 4, 2023