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VarunOPT-finetuned-slangQA - AWQ

Original model description:

license: other base_model: facebook/opt-350m tags: - generated_from_trainer model-index: - name: VarunOPT-finetuned-slangQA results: []

VarunOPT-finetuned-slangQA

This model is a fine-tuned version of facebook/opt-350m on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.7317

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss
2.7847 1.0 2848 2.7988
2.4895 2.0 5696 2.7426
2.33 3.0 8544 2.7317

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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