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

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MiuN2k3/
mtl-infoxlm-base-dsc

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microsoft/infoxlm-base

endpoints_compatible

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mtl-infoxlm-base-dsc

This model is a fine-tuned version of microsoft/infoxlm-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3796

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
1.2818	1.0	1544	1.0238
0.7074	2.0	3088	0.7507
0.7236	3.0	4632	0.6240
0.5222	4.0	6176	0.5627
0.5053	5.0	7720	0.4812
0.454	6.0	9264	0.4393
0.3946	7.0	10808	0.4191
0.5369	8.0	12352	0.3957
0.3529	9.0	13896	0.3868
0.4244	10.0	15440	0.3796

Framework versions

Transformers 4.44.2
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1