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

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raghvendramall/
esm2_t12_35M_UR50D-crystallization-finetuned-localization

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text-classification

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autotrain_compatible

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esm2_t12_35M_UR50D-crystallization-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: 0.7419
F1: 0.5791

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: 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	267	0.4285	0.4983
0.4409	2.0	534	0.4159	0.6386
0.4409	3.0	801	0.4282	0.5989
0.2942	4.0	1068	0.4542	0.6102
0.2942	5.0	1335	0.5155	0.5899
0.1774	6.0	1602	0.5666	0.6126
0.1774	7.0	1869	0.6379	0.6039
0.0999	8.0	2136	0.6942	0.5822
0.0999	9.0	2403	0.7298	0.5822
0.0631	10.0	2670	0.7419	0.5791

Framework versions

Transformers 4.28.0
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.13.3