distilbert_finetuned_claimdecomp

gavulsim/distilbert_finetuned_claimdecomp

distilbert_finetuned_claimdecomp is a text classification model from gavulsim. 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: deberta
Access: Public
Created: Oct 31, 2023
Updated: Nov 3, 2023
SHA: ab8bcee6

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Base models

Model card

From the Hugging Face model README

distilbert_finetuned_claimdecomp

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: 9.3205
Accuracy: 0.335

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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 30000

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0064	50.0	5000	5.7963	0.375
0.0	100.0	10000	7.2917	0.36
0.0	150.0	15000	7.0473	0.33
0.0	200.0	20000	8.0988	0.31
0.0	250.0	25000	8.8824	0.325
0.0	300.0	30000	9.3205	0.335

Framework versions

Transformers 4.34.1
Pytorch 2.0.0
Datasets 2.14.5
Tokenizers 0.14.1

Task: Text Classification
Library: transformers
Type: deberta
License: apache-2.0
Created: Oct 31, 2023
Updated: Nov 3, 2023