parsi-azma-test3

Dorost/parsi-azma-test3

parsi-azma-test3 is a text classification model from Dorost. 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
Access: Public
Created: Aug 6, 2023
Updated: Aug 6, 2023
SHA: 6acb2768

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Base models

Model card

From the Hugging Face model README

parsi-azma-test3

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6884
F1: 0.5616

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-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
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.3751	1.0	200	0.4398	0.5558
0.4578	2.0	400	0.5175	0.5586
0.3447	3.0	600	0.4170	0.5654
0.3003	4.0	800	0.5484	0.5658
0.2291	5.0	1000	0.6582	0.5184
0.3479	6.0	1200	0.5209	0.5591
0.4688	7.0	1400	0.6091	0.5725
0.1028	8.0	1600	0.6661	0.5692
0.1301	9.0	1800	0.6655	0.5636
0.2515	10.0	2000	0.6884	0.5616

Framework versions

Transformers 4.32.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.3
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Aug 6, 2023
Updated: Aug 6, 2023