xlm-roberta-base-wikineural – AI Model by arnabdhar | AlphaNeural AI

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arnabdhar/
xlm-roberta-base-wikineural

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token-classification

XLMRobertaForTokenClassification

named-entity-recognition

generated_from_trainer

tner/wikineural

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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xlm-roberta-base-wikineural

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: 0.0467

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: 3e-05
train_batch_size: 32
eval_batch_size: 128
seed: 37912547
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 100000

Training results

Training Loss	Epoch	Step	Validation Loss
0.0858	0.14	10000	0.0817
0.0719	0.28	20000	0.0660
0.0656	0.43	30000	0.0631
0.0598	0.57	40000	0.0574
0.0551	0.71	50000	0.0534
0.0523	0.85	60000	0.0512
0.0519	0.99	70000	0.0484
0.0418	1.13	80000	0.0480
0.042	1.28	90000	0.0469
0.041	1.42	100000	0.0467

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0