BioMedRoBERTa-finetuned-valid-testing-0.0001-32 – AI Model by pabRomero | AlphaNeural AI

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pabRomero/
BioMedRoBERTa-finetuned-valid-testing-0.0001-32

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token-classification

generated_from_trainer

allenai/biomed_roberta_base

autotrain_compatible

endpoints_compatible

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BioMedRoBERTa-finetuned-valid-testing-0.0001-32

This model is a fine-tuned version of allenai/biomed_roberta_base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0835
Precision: 0.8178
Recall: 0.8281
F1: 0.8229
Accuracy: 0.9769

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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	209	0.0882	0.7639	0.7805	0.7721	0.9718
No log	2.0	418	0.0735	0.8259	0.8222	0.8240	0.9775
0.2568	3.0	627	0.0779	0.8060	0.8110	0.8085	0.9746
0.2568	4.0	836	0.0815	0.8062	0.8245	0.8152	0.9768
0.0375	5.0	1045	0.0835	0.8178	0.8281	0.8229	0.9769

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1