vp-infoxlm-base-dsc – AI Model by MiuN2k3 | AlphaNeural AI

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MiuN2k3/
vp-infoxlm-base-dsc

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text-classification

generated_from_trainer

microsoft/infoxlm-base

autotrain_compatible

endpoints_compatible

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vp-infoxlm-base-dsc

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

Loss: 0.4642
Accuracy: 0.8251
F1: 0.8249
Precision: 0.8259
Recall: 0.8251

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
lr_scheduler_warmup_ratio: 0.05
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.9971	1.0	1590	0.8708	0.5664	0.5565	0.6042	0.5664
0.7175	2.0	3180	0.5943	0.7631	0.7626	0.7713	0.7631
0.5942	3.0	4770	0.5007	0.8069	0.8069	0.8075	0.8069
0.4981	4.0	6360	0.4676	0.8188	0.8182	0.8218	0.8188
0.4669	5.0	7950	0.4642	0.8251	0.8249	0.8259	0.8251

Framework versions

Transformers 4.44.2
Pytorch 2.4.0
Datasets 3.0.0
Tokenizers 0.19.1