pixel-base-finetuned-tydiqa-goldp

This model is a fine-tuned version of Team-PIXEL/pixel-base on the tydiqa secondary_task 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: 3e-05
• train_batch_size: 32
• eval_batch_size: 8
• seed: 2
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• training_steps: 20000
• mixed_precision_training: Apex, opt level O1

Training results

Framework versions

• Transformers 4.17.0
• Pytorch 1.11.0
• Datasets 2.0.0
• Tokenizers 0.12.1