esm2_t12_35M_UR50D-finetuned-localization – AI Model by raghvendramall | AlphaNeural AI

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raghvendramall/
esm2_t12_35M_UR50D-finetuned-localization

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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esm2_t12_35M_UR50D-finetuned-localization

This model is a fine-tuned version of facebook/esm2_t12_35M_UR50D on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.2355
F1: 0.6929

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.4654	1.0	3889	0.4648	0.6902
0.4139	2.0	7778	0.4605	0.7270
0.3621	3.0	11667	0.4892	0.7199
0.2574	4.0	15556	0.6158	0.6910
0.1731	5.0	19445	0.8932	0.6925
0.1162	6.0	23334	1.4826	0.6712
0.0651	7.0	27223	1.8881	0.6937
0.0565	8.0	31112	2.1033	0.6944
0.0319	9.0	35001	2.2087	0.6909
0.0153	10.0	38890	2.2355	0.6929

Framework versions

Transformers 4.28.0
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.13.3