diff-codegen-6b-v2 / README.md
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metadata
tags:
  - generated_from_trainer
datasets:
  - final_dataset
model-index:
  - name: diff_6b_full
    results: []

diff_6b_full

This model is a fine-tuned version of codegen-6b on the final_dataset 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: 1e-05
  • train_batch_size: 2
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 64
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 256
  • total_eval_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 895
  • num_epochs: 1.0

Training results

Framework versions

  • Transformers 4.22.0.dev0
  • Pytorch 1.13.0
  • Datasets 2.7.1
  • Tokenizers 0.12.1