NPComposer-v2 – AI Model by ralyn | AlphaNeural AI

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NPComposer-v2

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text-generation

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ibm-research/GP-MoLFormer-Uniq

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NPComposer-v2

This model is a fine-tuned version of ibm-research/GP-MoLFormer-Uniq on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2718

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: 5e-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
lr_scheduler_warmup_ratio: 0.03
num_epochs: 8.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.4069	1.0	27763	0.3820
0.3507	2.0	55526	0.3371
0.3247	3.0	83289	0.3142
0.3074	4.0	111052	0.2995
0.291	5.0	138815	0.2888
0.2765	6.0	166578	0.2803
0.2677	7.0	194341	0.2750
0.2569	8.0	222104	0.2718

Framework versions

Transformers 4.44.2
Pytorch 2.10.0+cu128
Datasets 2.21.0
Tokenizers 0.19.1

Hardware

1 x NVIDIA A40 48GB GPU