esm2_t30_150M_UR50D-finetuned-SO2F – AI Model by TomasFrankovich | AlphaNeural AI

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TomasFrankovich/
esm2_t30_150M_UR50D-finetuned-SO2F

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token-classification

generated_from_trainer

facebook/esm2_t30_150M_UR50D

autotrain_compatible

endpoints_compatible

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esm2_t30_150M_UR50D-finetuned-SO2F

This model is a fine-tuned version of facebook/esm2_t30_150M_UR50D on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6608
Accuracy: 0.7158
Precision: 0.1682
Recall: 0.5068
F1: 0.2526
Auc: 0.6223
Mcc: 0.1585

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Auc	Mcc
No log	1.0	108	0.6768	0.6886	0.1465	0.4740	0.2238	0.5925	0.1175
No log	2.0	216	0.6646	0.6935	0.1628	0.5397	0.2502	0.6247	0.1573
No log	3.0	324	0.6608	0.7158	0.1682	0.5068	0.2526	0.6223	0.1585

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2