ar_norm_input_lrsmall

This model is a fine-tuned version of on the wikipedia + bookcorpus 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: 0.00015
• train_batch_size: 32
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 2
• total_train_batch_size: 256
• total_eval_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 500000
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.17.0
• Pytorch 1.12.0
• Datasets 2.0.0
• Tokenizers 0.13.2