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Rodrigo1771/
bioBIT-drugtemist-it-ner

generated_from_trainer

Rodrigo1771/drugtemist-it-ner

IVN-RIN/bioBIT

finetune

model-index

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output

This model is a fine-tuned version of IVN-RIN/bioBIT on the Rodrigo1771/drugtemist-it-ner dataset. It achieves the following results on the evaluation set:

Loss: 0.0067
Precision: 0.9328
Recall: 0.9409
F1: 0.9369
Accuracy: 0.9988

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: 5e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	425	0.0056	0.8672	0.9226	0.8940	0.9981
0.0104	2.0	850	0.0042	0.9151	0.9284	0.9217	0.9986
0.0034	3.0	1275	0.0043	0.9182	0.9129	0.9155	0.9985
0.0022	4.0	1700	0.0044	0.9365	0.9138	0.9250	0.9986
0.0012	5.0	2125	0.0061	0.9107	0.9284	0.9195	0.9985
0.0009	6.0	2550	0.0060	0.9104	0.9342	0.9221	0.9987
0.0009	7.0	2975	0.0065	0.9230	0.9400	0.9314	0.9987
0.0005	8.0	3400	0.0059	0.9258	0.9303	0.9281	0.9987
0.0004	9.0	3825	0.0066	0.9255	0.9380	0.9317	0.9987
0.0001	10.0	4250	0.0067	0.9328	0.9409	0.9369	0.9988

Framework versions

Transformers 4.42.4
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Rodrigo1771/bioBIT-drugtemist-it-ner

output

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Rodrigo1771/
bioBIT-drugtemist-it-ner