5e-6_xlm-R-xl_Conspiracy_training_with_callbacks

SotirisLegkas/5e-6_xlm-R-xl_Conspiracy_training_with_callbacks

5e-6_xlm-R-xl_Conspiracy_training_with_callbacks is a text classification model from SotirisLegkas. 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: xlm-roberta-xl
Access: Public
Created: Jun 28, 2024
Updated: Jun 28, 2024
SHA: 1853a220

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Base models

facebook/xlm-roberta-xl

Model card

From the Hugging Face model README

5e-6_xlm-R-xl_Conspiracy_training_with_callbacks

This model is a fine-tuned version of facebook/xlm-roberta-xl on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0624
Macro F1: 0.9918
Micro F1: 0.9919
Accuracy: 0.9919

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: 5e-06
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Macro F1	Micro F1	Accuracy
0.6122	1.0	502	0.2712	0.9549	0.9559	0.9559
0.1503	2.0	1004	0.1047	0.9741	0.9744	0.9744
0.0508	3.0	1506	0.0734	0.9835	0.9837	0.9837
0.0226	4.0	2008	0.0837	0.9811	0.9814	0.9814
0.014	5.0	2510	0.0562	0.9882	0.9884	0.9884
0.0014	6.0	3012	0.0514	0.9894	0.9895	0.9895
0.0016	7.0	3514	0.0501	0.9918	0.9919	0.9919
0.0002	8.0	4016	0.0554	0.9918	0.9919	0.9919
0.0001	9.0	4518	0.0607	0.9906	0.9907	0.9907
0.0001	10.0	5020	0.0856	0.9859	0.9861	0.9861
0.0143	11.0	5522	0.0377	0.9929	0.9930	0.9930
0.0001	12.0	6024	0.0538	0.9918	0.9919	0.9919
0.0001	13.0	6526	0.0568	0.9918	0.9919	0.9919
0.0012	14.0	7028	0.0582	0.9918	0.9919	0.9919
0.0	15.0	7530	0.0500	0.9929	0.9930	0.9930
0.0001	16.0	8032	0.0649	0.9918	0.9919	0.9919
0.0	17.0	8534	0.0649	0.9918	0.9919	0.9919
0.0	18.0	9036	0.0648	0.9918	0.9919	0.9919
0.0009	19.0	9538	0.0621	0.9918	0.9919	0.9919
0.0	20.0	10040	0.0624	0.9918	0.9919	0.9919

Framework versions

Transformers 4.40.2
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: xlm-roberta-xl
License: mit
Created: Jun 28, 2024
Updated: Jun 28, 2024