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pszemraj/opt-peter-1.3B

This model is a fine-tuned version of pszemraj/opt-peter-1.3B-1E on 80k Whatsapp/iMessages (mine).

It achieves the following results on the evaluation set, after training for 1 epoch (on top of the 1E checkpoint linked above):

  • eval_loss: 3.4220
  • eval_runtime: 954.9678
  • eval_samples_per_second: 9.114
  • eval_steps_per_second: 2.279
  • epoch: 1.0
  • step: 1235

Model description

  • Exploring to see how OPT does in terms of dialogue/conversational applications :)
  • Seems to do a lot better than GPT-Neo with similar training parameters

Intended uses & limitations

  • OPT has a license that does not allow for commercial use, see original for details
  • any statements or claims made by this model do not reflect actual claims/statements by me

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 3e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.01
  • num_epochs: 2

Framework versions

  • Transformers 4.19.2
  • Pytorch 1.11.0+cu113
  • Tokenizers 0.12.1
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