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falcon_40b_qlora_sql_r64

This model is a fine-tuned version of tiiuae/falcon-40b on the spider dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1260

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
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 43.7
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
0.1845 0.23 100 0.2542
0.5572 0.46 200 0.2048
0.0779 0.69 300 0.1761
0.0581 0.91 400 0.1315

Framework versions

  • Transformers 4.32.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3
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Dataset used to train maidacundo/falcon_40b_qlora_sql_r64