mega-ar-large-2048-simplewiki

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mega-ar-large-2048-simplewiki

This is a 'large' size autoregressive MEGA model initialized from random weights and trained on pszemraj/simple_wikipedia_LM for three epochs.

It achieves the following results on the evaluation set:

• Loss: 3.3412
• Accuracy: 0.4360

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: 0.0005
• train_batch_size: 1
• eval_batch_size: 1
• seed: 80085
• gradient_accumulation_steps: 32
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-07
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 3.0

Training results

Framework versions

• Transformers 4.33.1
• Pytorch 2.2.0.dev20230907+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3