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amazon-reviews-input-output-13b

This model is a fine-tuned version of facebook/opt-13b on the AlekseyKorshuk/amazon-reviews-input-output dataset. It achieves the following results on the evaluation set:

  • Loss: 2.7168
  • Accuracy: 0.0404
  • Samples: 100
  • Perplexity: 15.1318
  • Table: <wandb.data_types.Table object at 0x7f8c9a3fb6d0>

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: 5e-05
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 64
  • total_eval_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1.0

Training results

Training Loss Epoch Step Validation Loss Accuracy
3.2134 0.96 15 2.7168 0.0404

Framework versions

  • Transformers 4.25.0.dev0
  • Pytorch 1.12.1+cu113
  • Datasets 2.3.2
  • Tokenizers 0.12.1
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Dataset used to train AlekseyKorshuk/amazon-reviews-input-output-13b

Evaluation results

  • Accuracy on AlekseyKorshuk/amazon-reviews-input-output
    self-reported
    0.040