tyzhu/find_word_baseline_10000_gpt2-large

This model is a fine-tuned version of gpt2-large on the tyzhu/find_word_baseline_10000 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: 0.0001
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 128
• total_eval_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 100.0

Training results

Framework versions

• Transformers 4.30.2
• Pytorch 1.13.0a0+d0d6b1f
• Datasets 2.12.0
• Tokenizers 0.13.3