biobert-v1.1-text-classifier – AI Model by Meli101 | AlphaNeural AI

You can deploy this model and start earning money today!

Meli101/
biobert-v1.1-text-classifier

like

0

text-classification

generated_from_trainer

dmis-lab/biobert-v1.1

autotrain_compatible

endpoints_compatible

Views

No views yet

biobert-v1.1-text-classifier

This model is a fine-tuned version of dmis-lab/biobert-v1.1 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2669
Precision: 0.9098
Recall: 0.9091
Accuracy: 0.9089
F1: 0.9089

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: 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	Precision	Recall	Accuracy	F1
No log	1.0	154	0.3413	0.8822	0.8813	0.8804	0.8808
No log	2.0	308	0.2918	0.8945	0.8836	0.8845	0.8848
No log	3.0	462	0.2669	0.9098	0.9091	0.9089	0.9089
0.3597	4.0	616	0.2781	0.9175	0.9174	0.9170	0.9170
0.3597	5.0	770	0.2797	0.9203	0.9206	0.9203	0.9204

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2