xlm-roberta-base-finetuned-code-mixed-DS

IIIT-L/xlm-roberta-base-finetuned-code-mixed-DS

xlm-roberta-base-finetuned-code-mixed-DS is a text classification model from IIIT-L. 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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Model card

From the Hugging Face model README

xlm-roberta-base-finetuned-code-mixed-DS

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

Loss: 0.8266
Accuracy: 0.6318
Precision: 0.5781
Recall: 0.5978
F1: 0.5677

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: 4.932923543227153e-05
train_batch_size: 16
eval_batch_size: 32
seed: 43
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
1.0602	1.0	248	1.0280	0.5211	0.4095	0.4557	0.3912
0.9741	1.99	496	0.9318	0.5533	0.4758	0.5002	0.4415
0.8585	2.99	744	0.8585	0.6076	0.5539	0.5731	0.5353
0.7293	3.98	992	0.8266	0.6318	0.5781	0.5978	0.5677

Framework versions

Transformers 4.20.1
Pytorch 1.10.1+cu111
Datasets 2.3.2
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: xlm-roberta
License: mit
Created: Sep 7, 2022
Updated: Aug 8, 2023