xlm-roberta-base-finetuned-wikiann-hi – AI Model by Someman | AlphaNeural AI

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Someman/
xlm-roberta-base-finetuned-wikiann-hi

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token-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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xlm-roberta-base-finetuned-wikiann-hi

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

Loss: 0.3097
F1: 1.0

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: 24
eval_batch_size: 24
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
0.5689	1.0	209	0.3179	1.0
0.2718	2.0	418	0.2733	1.0
0.19	3.0	627	0.2560	1.0
0.142	4.0	836	0.2736	1.0
0.0967	5.0	1045	0.2686	1.0
0.0668	6.0	1254	0.2966	1.0
0.052	7.0	1463	0.3194	1.0
0.0369	8.0	1672	0.3034	1.0
0.0236	9.0	1881	0.3174	1.0
0.0135	10.0	2090	0.3097	1.0

Framework versions

Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1