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pixel-base-finetuned-wnli – AI Model by Team-PIXEL | AlphaNeural AI

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Team-PIXEL/
pixel-base-finetuned-wnli

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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pixel-base-finetuned-wnli

This model is a fine-tuned version of Team-PIXEL/pixel-base on the GLUE WNLI 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: 1e-05
train_batch_size: 64
eval_batch_size: 8
seed: 3
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 400
mixed_precision_training: Apex, opt level O1

Framework versions

Transformers 4.17.0
Pytorch 1.11.0
Datasets 2.0.0
Tokenizers 0.12.1