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6.7b-dalio-principles-book-1-epoch-1-gas-6e-6-lr

This model is a fine-tuned version of facebook/opt-6.7b on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.4121
  • Accuracy: 0.3487

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-06
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • total_train_batch_size: 32
  • total_eval_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • num_epochs: 1.0

Training results

Training Loss Epoch Step Validation Loss Accuracy
2.4875 0.11 1 2.5059 0.3397
2.5339 0.22 2 2.5059 0.3397
2.5161 0.33 3 2.5059 0.3397
2.4524 0.44 4 2.5059 0.3397
2.554 0.56 5 2.4785 0.3416
2.4678 0.67 6 2.4785 0.3416
2.4836 0.78 7 2.4473 0.3458
2.4138 0.89 8 2.4297 0.3473
2.4551 1.0 9 2.4121 0.3487

Framework versions

  • Transformers 4.25.0.dev0
  • Pytorch 1.12.1+cu113
  • Datasets 2.3.2
  • Tokenizers 0.12.1
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