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

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MiuN2k3/
vp-infoxlm-large-dsc

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text-classification

generated_from_trainer

microsoft/infoxlm-large

autotrain_compatible

endpoints_compatible

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vp-infoxlm-large-dsc

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

Loss: 0.6113
Accuracy: 0.8706
F1: 0.8705
Precision: 0.8713
Recall: 0.8706

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: 4
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
0.8771	1.0	3180	0.8099	0.6890	0.6914	0.7003	0.6890
0.5911	2.0	6360	0.5717	0.8014	0.8007	0.8107	0.8014
0.4608	3.0	9540	0.5323	0.8442	0.8442	0.8449	0.8442
0.407	4.0	12720	0.5047	0.8680	0.8679	0.8683	0.8680
0.3372	5.0	15900	0.6113	0.8706	0.8705	0.8713	0.8706

Framework versions

Transformers 4.44.2
Pytorch 2.4.0
Datasets 3.0.0
Tokenizers 0.19.1