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opt-model

This model is a fine-tuned version of facebook/opt-13b on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.3965
  • Accuracy: 0.5020

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: 24
  • eval_batch_size: 24
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 3
  • total_train_batch_size: 72
  • total_eval_batch_size: 72
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5.0

Training results

Training Loss Epoch Step Validation Loss Accuracy
3.6363 1.0 3 3.2090 0.4082
2.8168 2.0 6 2.4805 0.4874
2.3529 3.0 9 2.4219 0.4915
2.1842 4.0 12 2.4023 0.4991
2.0765 5.0 15 2.3965 0.5020

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.12.0+cu102
  • Datasets 2.3.2
  • Tokenizers 0.12.1
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