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gpt-neo-1.3B-emailgen

This model is a fine-tuned version of EleutherAI/gpt-neo-1.3B on the postbot/multi-emails-100k dataset. It achieves the following results on the evaluation set:

  • Loss: 1.6930

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: 4
  • eval_batch_size: 4
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 32
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.02
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
1.8669 1.0 789 1.7866
1.4049 2.0 1578 1.6930

Framework versions

  • Transformers 4.22.2
  • Pytorch 1.10.0+cu113
  • Tokenizers 0.12.1
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Finetuned from

Dataset used to train postbot/gpt-neo-1.3B-emailgen