medical-multiclass-drug-review – AI Model by warlord200 | AlphaNeural AI

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warlord200/
medical-multiclass-drug-review

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text-classification

generated_from_trainer

google-bert/bert-base-uncased

autotrain_compatible

endpoints_compatible

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medical-multiclass-drug-review

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.3471
Precision: 0.6299
Recall: 0.6792
F1: 0.6322

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: 45
eval_batch_size: 45
seed: 42
optimizer: Use OptimizerNames.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: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1
2.9661	0.1992	500	2.1441	0.4077	0.5207	0.4254
1.931	0.3984	1000	1.6758	0.5516	0.6146	0.5495
1.6466	0.5976	1500	1.4787	0.6084	0.6530	0.5981
1.4647	0.7968	2000	1.3907	0.6206	0.6676	0.6154
1.3951	0.9960	2500	1.3471	0.6299	0.6792	0.6322

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Tokenizers 0.21.0