gpt-peter-2.7B / README.md
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metadata
tags:
  - generated_from_trainer
model-index:
  - name: gpt-peter-2pt7B-peter_DS-msgs_Ep-1_Bs-2
    results: []

gpt-peter-2pt7B-peter_DS-msgs_Ep-1_Bs-2

This model is a fine-tuned version of pszemraj/gpt-peter-2.7B on the None 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: 6e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 32
  • 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: 0.05
  • num_epochs: 1

Framework versions

  • Transformers 4.17.0
  • Pytorch 1.10.0+cu113
  • Datasets 2.0.0
  • Tokenizers 0.11.6