funnel-transformer-xlarge_ner_wnut_17 – AI Model by Gladiator | AlphaNeural AI | AlphaNeural AI

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Gladiator/
funnel-transformer-xlarge_ner_wnut_17

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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funnel-transformer-xlarge_ner_wnut_17

This model is a fine-tuned version of funnel-transformer/xlarge on the wnut_17 dataset. It achieves the following results on the evaluation set:

Loss: 0.2453
Precision: 0.7205
Recall: 0.5921
F1: 0.6500
Accuracy: 0.9620

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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	213	0.2331	0.6897	0.4067	0.5117	0.9462
No log	2.0	426	0.2056	0.7097	0.5526	0.6214	0.9587
0.1454	3.0	639	0.2379	0.7102	0.5658	0.6298	0.9600
0.1454	4.0	852	0.2397	0.7141	0.5885	0.6452	0.9620
0.0319	5.0	1065	0.2453	0.7205	0.5921	0.6500	0.9620

Framework versions

Transformers 4.20.1
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1