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