ColD-Fusion-finetuned-effectiveness-dagstuhl

jakub014/ColD-Fusion-finetuned-effectiveness-dagstuhl

ColD-Fusion-finetuned-effectiveness-dagstuhl is a text classification model from jakub014. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Mar 17, 2023
Updated: Mar 17, 2023
SHA: 3a3ca49d

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Model card

From the Hugging Face model README

ColD-Fusion-finetuned-effectiveness-dagstuhl

This model is a fine-tuned version of ibm/ColD-Fusion on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6456
Accuracy: 0.6349

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	16	0.6456	0.6349
No log	2.0	32	0.6408	0.6349
No log	3.0	48	0.6335	0.6349
No log	4.0	64	0.6386	0.6349
No log	5.0	80	0.6453	0.6349

Framework versions

Transformers 4.27.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Mar 17, 2023
Updated: Mar 17, 2023