finetuned_sol

This model is a fine-tuned version of ckandemir/solidity-generator on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2695

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: 7e-05
  • train_batch_size: 26
  • eval_batch_size: 26
  • seed: 100
  • distributed_type: multi-GPU
  • num_devices: 4
  • total_train_batch_size: 104
  • total_eval_batch_size: 104
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss
0.3698 1.0 33010 0.3371
0.3292 2.0 66020 0.2977
0.3067 3.0 99030 0.2782
0.2956 4.0 132040 0.2695

Framework versions

  • Transformers 4.33.0
  • Pytorch 2.1.0+cu121
  • Datasets 2.14.7
  • Tokenizers 0.13.3
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