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distilbert_xnli – AI Model by regisss | AlphaNeural AI

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regisss/
distilbert_xnli

like

0

text-classification

generated_from_trainer

distilbert/distilbert-base-multilingual-cased

autotrain_compatible

endpoints_compatible

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distilbert_xnli

This model is a fine-tuned version of distilbert-base-multilingual-cased on the xnli dataset.

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: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2.0

Training results

Framework versions

Transformers 4.20.1
Pytorch 1.12.1+cu116
Datasets 2.6.1
Tokenizers 0.12.1