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chintagunta85/
electramed-small-BC4CHEMD-ner

Name: electramed-small-BC4CHEMD-ner
Availability: InStock

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electramed-small-BC4CHEMD-ner

This model is a fine-tuned version of giacomomiolo/electramed_small_scivocab on the bc4chemd dataset. It achieves the following results on the evaluation set:

Loss: 0.0655
Precision: 0.7716
Recall: 0.6761
F1: 0.7207
Accuracy: 0.9771

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: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0882	1.0	1918	0.1058	0.6615	0.3942	0.4940	0.9635
0.0555	2.0	3836	0.0820	0.7085	0.5133	0.5954	0.9689
0.0631	3.0	5754	0.0769	0.6892	0.5743	0.6266	0.9699
0.0907	4.0	7672	0.0682	0.7623	0.5923	0.6666	0.9740
0.0313	5.0	9590	0.0675	0.7643	0.6223	0.6860	0.9749
0.0306	6.0	11508	0.0662	0.7654	0.6398	0.6970	0.9754
0.0292	7.0	13426	0.0656	0.7694	0.6552	0.7077	0.9763
0.1025	8.0	15344	0.0658	0.7742	0.6687	0.7176	0.9769
0.0394	9.0	17262	0.0662	0.7741	0.6731	0.7201	0.9770
0.0378	10.0	19180	0.0655	0.7716	0.6761	0.7207	0.9771

Framework versions

Transformers 4.21.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1

chintagunta85/electramed-small-BC4CHEMD-ner

electramed-small-BC4CHEMD-ner

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

chintagunta85/
electramed-small-BC4CHEMD-ner