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metadata
license: other
tags:
  - generated_from_trainer
datasets:
  - AlekseyKorshuk/amazon-reviews-input-output
metrics:
  - accuracy
model-index:
  - name: amazon-reviews-input-output
    results:
      - task:
          name: Causal Language Modeling
          type: text-generation
        dataset:
          name: AlekseyKorshuk/amazon-reviews-input-output
          type: AlekseyKorshuk/amazon-reviews-input-output
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.037317073170731706

amazon-reviews-input-output

This model is a fine-tuned version of facebook/opt-350m on the AlekseyKorshuk/amazon-reviews-input-output dataset. It achieves the following results on the evaluation set:

  • Loss: 3.0486
  • Accuracy: 0.0373
  • Samples: 100
  • Perplexity: 21.0867
  • Table: <wandb.data_types.Table object at 0x7fa288d36880>

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: 4
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
3.2766 0.8 25 3.0587 0.0372

Framework versions

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