xlm-roberta-large-ner-demo – AI Model by Amarsanaa1525 | AlphaNeural AI

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Amarsanaa1525/
xlm-roberta-large-ner-demo

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token-classification

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FacebookAI/xlm-roberta-large

autotrain_compatible

endpoints_compatible

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xlm-roberta-large-ner-demo

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

Loss: 0.0976
Precision: 0.9340
Recall: 0.9404
F1: 0.9372
Accuracy: 0.9816

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: 2e-05
train_batch_size: 16
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1657	1.0	477	0.0866	0.8655	0.8978	0.8814	0.9752
0.0716	2.0	954	0.0801	0.9135	0.9283	0.9208	0.9796
0.0448	3.0	1431	0.0814	0.9244	0.9374	0.9309	0.9805
0.0283	4.0	1908	0.0870	0.9256	0.9367	0.9311	0.9808
0.017	5.0	2385	0.0976	0.9340	0.9404	0.9372	0.9816

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1