deberta-v3-base_conll03 – AI Model by lambdavi | AlphaNeural AI

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lambdavi/
deberta-v3-base_conll03

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token-classification

generated_from_trainer

microsoft/deberta-v3-base

autotrain_compatible

endpoints_compatible

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deberta-v3-base_conll03

This model is a fine-tuned version of microsoft/deberta-v3-base on the conll2003 dataset. It achieves the following results on the evaluation set:

Loss: 0.0973
F1-type-match: 0.9316
F1-partial: 0.9733
F1-strict: 0.9235
F1-exact: 0.9651

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: 0.0001
train_batch_size: 32
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	F1-type-match	F1-partial	F1-strict	F1-exact
0.0963	1.0	439	0.0814	0.8408	0.8897	0.8323	0.8809
0.0197	2.0	878	0.0803	0.9219	0.9725	0.9138	0.9648
0.0108	3.0	1317	0.0858	0.9307	0.9728	0.9228	0.9648
0.0054	4.0	1756	0.0922	0.9313	0.9725	0.9235	0.9643
0.0033	5.0	2195	0.0973	0.9316	0.9733	0.9235	0.9651

Framework versions

Transformers 4.36.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.15.0