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TracyWu32/
RoBERTa-NER-Skill

Name: RoBERTa-NER-Skill
Availability: InStock

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skill-ner-model

This model is a fine-tuned version of Jean-Baptiste/roberta-large-ner-english on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Token Accuracy
0.0316	1.0	10	0.0463	0.8621	0.6098	0.7143	0.5323
0.0184	2.0	20	0.0483	0.7222	0.6341	0.6753	0.5806
0.0146	3.0	30	0.0652	0.6809	0.7805	0.7273	0.7419
0.0103	4.0	40	0.0561	0.8788	0.7073	0.7838	0.629
0.0084	5.0	50	0.0670	0.7111	0.7805	0.7442	0.7742
0.0066	6.0	60	0.0692	0.7333	0.8049	0.7674	0.7903
0.0037	7.0	70	0.0663	0.7381	0.7561	0.747	0.7258
0.0044	8.0	80	0.0746	0.7442	0.7805	0.7619	0.7581
0.0029	9.0	90	0.0749	0.7273	0.7805	0.7529	0.7581
0.0026	10.0	100	0.0761	0.7442	0.7805	0.7619	0.7581