gpt2-cpt-white

This model is a fine-tuned version of gpt2 on the shahadalkhalifa/Crypto_Whitepaper_Labeled 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: 0.0002
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• total_train_batch_size: 32
• total_eval_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 4.0

Training results

Framework versions

• Transformers 4.39.0.dev0
• Pytorch 2.2.2+cu121
• Datasets 2.14.6
• Tokenizers 0.15.2